Tööpakkumised Eestis

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role As a financial institution moving billions of pounds of customer money in more than 70 countries, Wise must have bulletproof financials. We are now looking for an Associate Controller to join our Finance Team in Tallinn. This role is a unique opportunity to have an impact on Wise’s mission by ensuring timely and accurate financial data as well as building mature processes and a scalable control environment. A bit about the role: As a Finance Core Associate Controller you will be supporting the Area Controller overseeing Wise’s internal financials, contributing to ensuring that area related controls have been executed and Area Financial Statements are accurately and timely recorded. Perform detailed reconciliations of the balance sheet and income statement. You will identify and investigate variances, ensuring we understand the "why" behind the numbers in relation to changes. You will monitor the performance of monthly controls within the field and escalate any gaps to the Area Controller to ensure our risk and control repository remains accurate. Collaborate with analysts and accounting teams to maintain and improve the tools used for variance analysis. You will draft the initial commentary for monthly group-level reporting. You will help with planning and testing of new system implementation for controlled and efficient processes within the Finance Core area. Take ownership of specific financial closing tasks, ensuring they are executed accurately and on time to meet Wise’s global reporting deadlines. Create and maintain "end-to-end" documentation of how transactions are recorded through our accounting procedures. You will help visualize how a business decision turns into an accounting entry in our books. Proactively identify "pain points" in your daily workflow. You will propose and implement solutions to automate manual tasks or fix inefficient processes within the immediate team. Act as one of the first points of contact for external auditors for your area. You will coordinate responses to ensure a smooth audit process. Build strong working relationships with the wider Finance Tribe to ensure information flows smoothly and blockers are resolved quickly. Qualifications About you: Practice – You have solid experience in Financial Accounting or Controlling. Prior experience in a fast-paced international environment or FinTech is a plus. You have a track record of improving existing processes and the resilience to navigate the challenges of a growing business. Theory – You possess a thorough understanding of core accounting principles (IFRS and/or local GAAP). Ownership – You are a self-starter who takes responsibility for your assigned area end-to-end. While you’re comfortable acting autonomously on day-to-day decisions, you know when to seek guidance on complex judgements that impact the wider team. Love Getting Things Done – You have a "roll up your sleeves" attitude. You enjoy digging into the details, reconciling data, and solving operational problems to ensure the financial closing is accurate and timely. Collaborative Communication – You work effectively in a global team and can translate complex financial data into clear updates for stakeholders. You’re comfortable building Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech’s Bonus & Wallet team is looking for a data‑driven and financially literate Product Owner (Finance & Accounting) to join our team in Estonia. The role Your influential mission. You will... Own and maintain the financial models that define how data is structured, calculated, and interpreted within the Wallet system. Ensure models accurately reflect business logic and remain aligned with evolving product and regulatory requirements. Work closely with Finance, Data, and Engineering teams to validate and evolve models. Manage and maintain financial reports and the underlying data aggregation logic. Work with Product Manager to define and prioritize the product roadmap in alignment with business goals. Translate product vision into actionable backlog items, including epics and user stories. Track feature usage to ensure new features deliver value and inform roadmap planning. Collaborate closely with Software Analysts and Reporting Engineers to maintain and improve regulatory and business reports. Maintain product documentation and guides in the Academy. Qualifications Components for success. You... Have experience with financial models and data structures in transactional systems. Demonstrate a strong understanding of accounting principles and financial reporting. Understand SQL and relational databases. Work with Agile methodologies and tools (e.g., Jira, Confluence). Are analytical, detail-oriented and passionate about data integrity. Communicate fluently in English, both written and spoken. You'll get extra points for... Experience in the iGaming industry. Degree in Finance, Accounting, Economics, or a related field. Familiarity with BI tools (Power BI). Additional information Thrive in a culture that values... Initiative-taking and confident approach at the workplace. Global scope and inclusive working environment. Constant learning and development opportunities. Active lifestyle and mental well-being. Fun and engaging company events. BONUS & WALLET TEAM The Wallet is a central component of Playtech’s gaming infrastructure, responsible for capturing all financial transactions related to online gameplay, including Sports betting, Casino games, Live dealer games, Bingo and Poker. These activities generate millions of rows of raw transactional data daily, which are stored in a ledger-based model. On top of this raw data, the team builds aggregated data models that support a wide range of reporting needs—from regulatory compliance and financial audits to business intelligence and operational monitoring. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role We’re looking for a Data Science Lead to join our AML Risk team in Tallinn. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting opportunity to develop the program in a global company. Your work will allow Wise to keep our customers safe and making sure we can keep our ecosystem free of bad actors in a scalable way. What you build will have a direct impact on Wise’s mission and millions of our customers . About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team is well equipped and working on cutting-edge technology to sustainably support Wise’s growing customer, transaction and product space. You will be stepping into an already functioning, but growing product team. Here’s how you’ll be contributing: AML Risk Detection System Development Developing efficient and effective AML detection controls using a mixture of unsupervised, semi-supervised and supervised learning with GenAI Creating frameworks to prove controls coverage at a regional level Developing technologies to serve Wise’s diverse international user base Building a team of high performing specialists Working with product managers and engineering leads to understand staffing requirements Hiring specialists Mentoring more junior members of the team on technical and non-technical skillsets Performance Testing and Optimisation Evaluating our AML systems against internal and external benchmarks Developing decisioning layers to find optimal trade-offs between precision and recall Providing data-driven insights on potential outcomes under various scenarios Operational Process Development Collaborating with operational teams to refine processes, ensuring effective feedback integration into our automation systems Designing and managing projects that utilise excess operational capacity, such as manual data labelling for model improvement Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions Deployment and Implementation Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments Implementing and maintaining scheduled processes for data gathering and model retraining using automated pipelines Maintaining production-grade Python services Qualifications A bit about you: Experience implementing, training, testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Experience with statistical analysis, and ability to produce well-designed experiments; A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; Good communication skills and ability to get the point across to non-technical individuals; Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. Some extra skills that are great (but not essential): Familiarity with automating operational processes via technical solutions, for example Large Language Models Willingness to get hands dirty with operational side by sides to understand their pain points Knowledge and experience within the Financial Crime domain Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role We're looking for an experienced lead to join our growing AML Investigations team in Tallinn, Estonia . As a FinCrime Operations Senior Lead your mission is to ensure the effective assessment and mitigation of financial crime risks across operations. You will act as a vital connector between operational teams and senior leadership, transforming strategic objectives into actionable directives. Your leadership will prioritize customer focus, regulatory compliance, and sustained operational excellence across multiple specialized teams. Key Responsibilities Executive Leadership & People Development: Lead by example, cultivating a high-performance, results-driven culture across multiple Team Leads and Specialists. Own the talent pipeline: hire, coach, mentor, and develop direct reports, driving career check-ins, skill enhancement, and making recommendations for promotions/salary progression. Implement strong performance frameworks to consistently meet and enhance individual and team KPIs/SLAs, promptly addressing and documenting underperformance. Strategic Planning & Operational Governance: Own the strategic roadmap (spanning several quarters) for your operational area, transforming high-level plans into actionable change. Lead and manage projects from start to finish, driving momentum, delegating tasks , and articulating project impact and value to cross-functional stakeholders. Ensure highest quality standards and compliance are maintained across all tasks, leading root cause analysis and turning insights into improvements. Risk Mitigation & Domain Expertise: Serve as the Subject Matter Expert (SME) in Financial Crime areas (AML/KYC/Fraud), training and coaching your leadership team. Be responsible for developing and driving action plans for operational incident management, detection, response, and remediation. Maintain accountability for escalating critical incidents, high-risk customers, and systemic control weaknesses to senior leadership in a timely and precise manner. Stakeholder Management & Influence: Lead complex projects with multiple, diverse stakeholders (Product, Engineering, Compliance, Senior Management). Negotiate and influence cross-functional teams to drive momentum toward strategic goals. Communicate clearly and confidently, tailoring messages to the audience and using data to deliver impactful and concise updates . Qualifications We are seeking a seasoned leader who combines strategic people management with deep FinCrime expertise to ensure operational governance across our specialized teams. Experience: 3-4 years of experience in FinCrime, KYC/AML, or compliance, with at least 3 years leading small to medium-sized teams. Performance Development: Proven track record of delivering constructive, well-evidenced feedback that drives tangible behavioral change and performance improvement. Advanced Domain Knowledge: Strong understanding of the FinCrime regulatory framework (KYC, AML, FinCrime). Must be able to translate external industry insights and regulatory changes into robust strategies for Wise. Metric Ownership: Experience with forecasting and strategically moving team metrics, coupled with the ability to independently analyze and drive metric improvement. Process Efficiency: Highly process-oriented and efficiency-driven mindset ; able to recognize and proactively resolve recurring issues and streamline processes. Resilience & Quality: Must be able to work with tight deadlines under pressure while maintaining a high level of quality and competence. Communication & Self-Leadership: Excellent verbal and written English skills. Highly punctual, independent, proactive, and thrives in a fast-paced environment, comfortable rapidly switching between topics. Nice to Have Education: Bachelor’s degree in Finance, Business Administration, Law, or a related field. Certifications: ICA, CAMS, or equivalent FinCrime/Risk certification. Tools: Experience using Business Intelligence tools such as Looker, Superset, or Microtab. Additional information If you’re ready to take on an exciting challenge and make a meaningful impact, we’d love to hear from you! Please submit your resume in English as soon as possible. We will start interviewing for this position from day 1 so we would recommend applying rather sooner than later - otherwise, someone else might grab your dream job 💚 Our Hiring Process Application Review: We evaluate your experience and skills. Quick Chat with a Recruiter: A brief call to discuss the role and see if Wise aligns with your career goals. First Interview: Meet our FinCrime Senior Leads for a discussion around your leadership and operational delivery experience. Second Interview: Meet with our People Partner and another Senior Lead to discuss your project management skills in driving cross-team change and your practical experience in scaling and managing large, operational teams. Final Interview: An in-depth discussion with our Head of AML Investigations Service Delivery and Global Head of AML Operations to assess your technical and cultural fit. For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role About the role As a Finance Analyst at Wise, you will sit at the heart of our mission: money without borders. This role is a unique hybrid, split between the Product Financials and Accounting Operations. You aren't just "running reports." You are building the data infrastructure and analytical models that allow our Product Managers and Controllers to sleep at night. You’ll own the "why" behind the numbers, translating complex transactional data into actionable financial insights. What will you be working on? 1. Cards Product Financials Metric Ownership: Deep-dive into KPIs like Gross Margin, Unit Economics, and Transaction Volumes across 160+ countries. Stakeholder Partnership: Work closely with Financial Controllers to provide assurance on monthly actuals, ensuring internal management reporting aligns with external obligations and different Product teams to ensure they can make the most of Finance data. Modeling: Develop and refine models to understand card-related costs and revenues, identifying efficiency opportunities as we scale. Analytics: Build out dashboards and define metrics that reliably answer the most pressing questions from the business. 2. Support for Accounting Payment Operations Financial Integrity: Ensure consistency between vendor reports, bank statements, and our General Ledger (GL). You’ll be the architect of reconciliation between Finance and third-party systems. Operational Analytics: Build and maintain analytics for payables, payment cycles, invoice aging, and liquidity management to ensure Wise always has the right money in the right place. Optimization: Provide data-driven insights on efficiency and costs to help the Payment Ops team optimize how we move money globally. Feedback Loop: Act as a critical partner to PMs and Engineering by identifying and highlighting data quality gaps that impact financial accuracy. Qualifications What do you need? We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! SQL Mastery: You can navigate massive datasets, join complex tables, and write optimized queries for high-volume transactional data. Python Proficiency: You use Python for data manipulation ( pandas/numpy ) and to automate the heavy lifting of financial reconciliations. Data Visualization: You create intuitive dashboards ( Lightdash/Superset ) that allow stakeholders to grasp complex financial drivers or liquidity bottlenecks at a glance. Data Pipelines: You have proven ability to build and maintain analytical models and pipelines (e.g., dbt, Airflow, or similar ), ensuring they are robust and scalable. Qualifications & Experience Experience: 3-5 years in a highly analytical role (Finance, Data Analytics, or Business Intelligence) at a tech or financial services company. Domain Knowledge: Understanding of payment card networks (Visa/Mastercard), accounting and financial data will give you a massive head start. Autonomy: You are comfortable working as an Individual Contributor (IC2), taking full ownership of your domain with a proactive, "find a way" mindset. You are also comfortable challenging decisions and are proactively looking for ways to improve the status quo. The "Plus": Previous experience in Accounting or Corporate Finance is a significant advantage. Understanding the flow from a customer transaction to a GL entry is key. Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role Your mission: Ownership of complex accounting areas: You will be responsible for a variety of accounting challenges (including Share Based Payments (IFRS2)) requiring both strong data processing skills (manual and semi-automated calculation files) and knowledge of financial reporting and international accounting standards). This includes: performing controlling over the area; managing and coordinating improvement projects aimed to make accounting processes more reliable, efficient and automated; collaborating with various finance and other teams to obtain understanding about transactions and work out appropriate accounting processes and sufficient controls to mitigate operational risks. Project Management: As a UK‑listed company preparing for a potential dual‑listing in 2026, Wise is working on strengthening the design and operating effectiveness of its internal controls. You will lead the SOX controls uplift within the General Accounting team, driving improvements in both control design and execution. This role will give you the opportunity to: Own your own path to success – You’ll have a high level of autonomy and responsibility. Develop an in-depth knowledge in accounting – Challenge your IFRS and US Gaap skills, knowledge and abilities in a wide variety of accounting areas. Work in a team – You’ll have an opportunity to work together with like-minded, highly experienced and results oriented people. Inspire teams with your ideas, strategy, knowledge and self-starting attitude. Grow with the role – You will have the opportunity to develop your leadership skills as the business and Finance function grows in complexity. Qualifications About you: Practice – You have prior experience as Senior Accountant, Financial Controller or Audit Manager. Prior experience in international/listed companies or FinTech would be highly beneficial. You have practical experience in managing accounting projects and demonstrated resilience to break through and overcome challenges. You may have built things from scratch. Theory – Strong understanding of the core accounting principles (IFRS and/or US Gaap knowledge is a must.) Ownership – You work independently, assume responsibility and make your own judgements. You are prepared to take ownership over complex new areas and solve problems with minimal guidance. Love getting things done – You are not afraid to roll up your sleeves and take responsibility to do whatever needs doing to solve problems. Collaborative and influencing skills – You work well in an international team environment, and know how to have an impact through others. You have partnered with internal and external stakeholders and have strong communication skills. Additional information Salary range - 3,300 to 4,300 EUR gross monthly (+ RSU's) This role is based in our Tallinn office and requires the individual to have full working rights within Estonia to apply, and the willingness to come into the office 3 days a week as per our hybrid working model. For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role We’re looking for a Staff Data Scientist to join our growing AML Team in Tallinn, Estonia. This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detection and assessment to the next level regarding regional typology understanding and at the same time, provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. About the Role: The AML team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage of different financial crime typologies and red flags. Software engineers, data analysts, data scientists and compliance specialists collaborate on a daily basis to continuously improve our systems and provide support to our AML investigation team. Our vision is: Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our AML investigators and the product team to develop solutions that leverage the expertise of AML investigation specialists. Not only meet the requirements set by regulators and auditors but also surpass their expectations. We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our AML detection capabilities. Here’s how you’ll be contributing: Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across different regions where Wise operates. Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into AML detection product offerings. Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use. Optimize and Evaluate: Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs. Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training. Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features. Qualifications A bit about you: Demonstrated expertise (5+ years) in developing and deploying production-grade AI systems and Machine Learning (ML) in financial risk or fraud domains. Technical Proficiency: Skilled in Python, capable of delivering production-ready Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with big-data frameworks and working with large scale databases. Technical leadership and mentorship: demonstrated ability to guide, mentor and level-up teams on technical aspects, fostering a collaborative and innovative work environment. Excellent communication skills, capable of simplifying complex technical concepts for easy understanding; able to adapt communication style to suit different audiences; can effectively engage and advise both technical and non-technical stakeholders with clarity and logic. A strong product mindset with the ability to work independently in a cross-functional and cross-team environment. Additional information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .

About the company Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . The role The team you’ll be working with: Core Accounting in Finance Finance drives financial accounting, business monitoring and representing Wise financials to board, investors, regulators and auditors. Their focus is on running financial processes in an efficient, scalable and controlled manner and ensuring timely and accurate financial reporting. Finance Services at Wise record over 1 billion ledger entries per month, averaging at 40,000 events per minute. Teams in Finance are responsible for the following: Core Accounting: Providing ledger as a service and responsible for the Third Party integrations along with spitting the financial aggregations out. Finance Implementation: Journaling of financial transactions of new customer products/features Integrations Experience: Improving the experience and process of onboarding new product financials. Data & Assurance: Managing the governance and controls over all financial data About the Role As an Senior Software Engineer to join our Core Accounting team you would be responsible for shaping and delivering some of the key initiatives and functionalities in the team like: Design, shape, develop, and test applications using Java, Spring Boot, PostgreSQL, Kafka and React in a micro services environment Participate in the development of our ledger as a service, aggregation pipeline for financials, and 3rd party integrations Learn and take ownership of the 3rd party systems we in finance have and how we integrate with them Work cross-functionally in squads who are vital to driving the mission of making ledger and financials more timely, accurate and controlled. Create clear and helpful interfaces, whilst maintaining consistency, maintainability and performance Collaborate with cross-functional teams to identify and prioritize product requirements Write clean, efficient, and well-documented code that adheres to our coding standards Participate in code reviews and contribute to the improvement of our codebase Participate in team ceremonies and planning cycles Qualifications What You'll Do Technical Leadership & Delivery Own large-scale projects: Lead the technical roadmap and deliverables for significant, impactful initiatives (8+ engineering weeks) Design scalable systems: Build backend services and APIs with a long-term approach, using design patterns that enable easy iteration and scaling Full-stack contribution: Work across the entire stack with particular strength in backend technologies, ensuring seamless integration between frontend and backend systems Maintain system reliability: Take accountability for the availability, reliability, and security of the systems you build API-first design: Ensure all products are designed with strong, well-documented APIs that partners and internal teams can easily consume Product & Strategic Impact Drive technical roadmap: Own and contribute to your team's technical roadmap alongside product partners Product thinking: Provide strong feedback on product roadmaps, always able to articulate why something is being built, what customer problem it solves, and expected impact Technical debt management: Proactively address technical debt and plan work to keep it within risk appetite Cross-team collaboration: Promote collaboration across teams to minimize duplicate work and align everyone toward common goals Mentorship & Team Excellence Mentor engineers: Coach and assist other engineers in your team and broader engineering guilds Own onboarding: Lead the onboarding process for new engineers joining your team Engineering practices: Ensure your team follows Wise's engineering best practices (observability, security, database usage, testing, etc.) Additional information What We're Looking For Technical Expertise Backend mastery: Expert-level knowledge in backend technologies with up-to-date knowledge of your discipline Full-stack capabilities: Strong understanding of frontend technologies and ability to work across the entire stack Distributed systems: Solid understanding of distributed systems, microservices, and how to design them effectively System design: Experience designing and building scalable, maintainable systems with proper abstractions Leadership & Collaboration Mentorship skills: Proven ability to coach and develop other engineers Cross-functional collaboration: Excellent communication skills across engineering, product, design, and other functions Ownership mindset: Embrace long-term ownership while building redundancy and knowledge sharing Cultural contributor: Exemplify Wise values and contribute For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs . Keep up to date with life at Wise by following us on LinkedIn and Instagram .