Вакансии в Эстонии

Product Financial Data Analyst

Wise

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 .

Data Science Lead - AML Risk

Wise

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 .

Staff Data Scientist - AML

Wise

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 .

KYC Operations Associate Analyst

Wise

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 Join the Revolution at Wise as a KYC Operations Associate Analyst! Are you ready to be more than just an employee? At Wise, we're not just offering a job; we're inviting you to be part of a financial revolution! We're looking for a passionate and detail-oriented KYC Operations Associate Analyst to join our dynamic team. About the Role As a KYC Operations Associate Analyst, you'll be at the forefront of ensuring Wise adheres to the highest regulatory and compliance standards. You'll play a crucial role in protecting our customers and maintaining the integrity of our platform by conducting thorough customer due diligence, analyzing customer activities, and meticulously maintaining our KYC records. If you're eager to develop your career in the KYC domain, this is the perfect opportunity to make a real impact! What You’ll Do Customer and Business Onboarding: Dive into initial and ongoing Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) reviews. You’ll make critical risk-based decisions, ensuring our risk mitigation standards are met. You’ll also get to collect, analyze, and verify customer information against KYC/AML guidelines, gaining a deep understanding of potential risks associated with various customer types. This involves assessing everything from customer identity documents and online company registries to complex business structures, ultimate beneficial ownership, and customer source of wealth documentation, plus adverse media screening. Transaction Monitoring and Periodic Reviews: You’ll review customer transaction history, providing key insights into customer behavior patterns that could indicate risks. You'll also conduct periodic reviews, analyzing changes in customer history and account usage to keep us one step ahead. Documentation and Record Keeping: Accuracy is key! You’ll ensure customer records are not only accurate but also updated as required. You’ll maintain organized and detailed records of customers and the decisions made during the KYC process, all while complying with data privacy regulations and internal data security protocols. Risk Assessment and Escalation: You’ll perform and document customer risk assessments based on the information you gather. When you identify activities that exceed our internal risk tolerance, you’ll escalate them to the relevant teams. You’ll also be vigilant in identifying potential money laundering and fraudulent activities, filing Suspicious Activity Reports with proper documentation and rationale. Customer Communication: You’ll communicate effectively with customers through various channels (phone, email, and chat), providing top-notch service and support. KPIs and More: You'll perform your tasks within the expected key performance indicators set by the leadership team, and you'll tackle other position-related tasks assigned by your lead. You’ll also participate in meetings, training, and internal and external events, contributing to our collaborative 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 .

Credit Risk Underwriter

Inbank

<p><img style="max-width: 100%;" src="https://ib-cdn.inbank.eu/images/banners/banner3.png" alt="" width="1584"></p> <p>Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.</p> <p>As we continue to expand our business, we are looking for an enthusiastic <strong>Credit Risk Underwriter</strong> to join our Tallinn office. </p> <p>As a <strong>Credit Risk Underwriter,</strong> you’ll play a key role in shaping how we make retail credit decisions across our markets. Your work will directly influence product performance and profitability, combining analytical thinking with real business impact. This is a hands-on role where you’ll collaborate closely with different teams to continuously improve how we assess and manage credit risk.</p> <p><strong>What you’ll be doing? </strong></p> <ul> <li>Developing and improving credit decision-making processes, including statistical analyses and probability estimations, while shaping credit decision criteria.</li> <li>Building and maintaining analytical views, dashboards, and reports to support decision-making.</li> <li>Helping ensure product profitability through sound underwriting and pricing approaches.</li> <li>Monitoring credit risk performance across partners and customer segments, and spotting trends early.</li> <li>Working closely with our technology team to enhance our automated credit evaluation systems (decision engine, data integrations, etc).</li> <li>Contributing a credit risk perspective to cross-functional projects, while sharing insights and recommendations with country and product teams.</li> <li>Keeping up with developments in credit risk management and bringing new ideas into practice.</li> </ul> <p><strong>Ideally, you’d have: </strong></p> <ul> <li>Around 1–2 years of experience in a similar analytical role; experience in fintech or banking is a plus.</li> <li>A strong analytical mindset and a structured way of thinking through problems.</li> <li>Confidence working with Excel and familiarity with tools like SQL, R, Python, or similar.</li> <li>Some hands-on experience with building or working with statistical models.</li> <li>The ability to take initiative, work independently, and think critically.</li> <li>A collaborative mindset and a genuine interest in working with different teams.</li> <li>Strong communication skills in written and spoken English & Estonian.</li> </ul> <p>If this role excites you, but you don’t meet every single requirement, <strong>we still encourage you to apply.</strong> We <strong>value diverse backgrounds and perspectives</strong> and believe that great people grow into great roles.</p> <p><strong>What you’ll get in return?</strong></p> <ul> <li>A competitive salary tailored to your experience, along with a comprehensive benefits package.</li> <li>Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.</li> <li>Extra vacation days after your third year, giving you more time to rest and recharge.</li> <li>A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.</li> <li>A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.</li> <li>Flexibility through a hybrid and autonomous way of working, built on trust and accountability.</li> <li>The opportunity to collaborate with talented international colleagues across multiple markets.</li> <li>Regular team events and additional perks that make work more enjoyable and help celebrate successes together. </li> </ul> <p><strong>Sounds like a fit?</strong></p> <p>Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.</p>

Associate Controller - Finance Core

Wise

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 .

Product Owner (Finance & Accounting)

Playtech Estonia

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.

Credit Risk Analyst

Inbank

<p><img style="max-width: 100%;" src="https://ib-cdn.inbank.eu/images/banners/banner3.png" alt="" width="1584"></p> <p>Inbank is a financial technology company with an EU banking license that connects merchants, consumers, and financial institutions on its next-generation embedded finance platform. Our financing solutions are embedded seamlessly into the shopping journey of 6,000+ retailers. This helps our merchant partners grow their businesses, while end customers benefit from a frictionless shopping experience wherever they are. With a focus on innovation and growth, we are looking for talented people to join our team of 440+ working across our offices in Estonia, Latvia, Lithuania, Poland, and the Czech Republic.</p> <p>Due to our growth ambitions, we seek a driven <strong>Credit Risk Analyst</strong> to join our Tallinn office.</p> <p>As a <strong>Credit Risk Analyst </strong>in our Risk Team, you will play a key role in assessing, monitoring, and improving the performance of our consumer lending portfolio across multiple markets. By turning data into insight, you’ll help shape smarter lending decisions - from evaluating creditworthiness to refining risk models - directly influencing how we manage risk, support sustainable growth, and maintain a strong, well-balanced credit portfolio. You’ll also analyse portfolio trends and calculate expected credit losses in line.</p> <p>In this role, you’ll be one of the key contributors within our Credit Risk Control team - tackling complex challenges, sharing ideas, and working alongside talented professionals to keep our credit portfolio strong, balanced, and future-ready.</p> <p><strong>What will you be doing?</strong></p> <ul> <li>Monitoring credit portfolio performance, identifying key risk drivers, and providing actionable insights across Inbank’s 5 operating markets.</li> <li>Analysing customer behavior, loan performance, and emerging risk trends.</li> <li>Preparing regular risk reports and dashboards for internal stakeholders to support decision-making.</li> <li>Collaborating with product, data, and collections teams to improve credit processes.</li> <li>Contributing to the development and optimisation of credit policies.</li> </ul> <p><strong>Ideally, you would have:</strong></p> <ul> <li>2–3 years of previous experience in Credit Risk, Data Analysis, or a similar analytical role.</li> <li>Strong analytical skills and the ability to interpret complex datasets.</li> <li>Intermediate proficiency in SQL and Excel; experience with Tableau (or a similar reporting tool) is a plus.</li> <li>Understanding of consumer lending products and credit risk principles.</li> <li>Strong attention to detail and a structured approach to problem-solving.</li> <li>Excellent communication skills in written and spoken English.</li> </ul> <p><strong>What you’ll get in return?</strong></p> <ul> <li>A competitive salary tailored to your experience, along with a comprehensive benefits package.</li> <li>Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.</li> <li>Extra vacation days after your third year, giving you more time to rest and recharge.</li> <li>A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.</li> <li>A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.</li> <li>Flexibility through a hybrid and autonomous way of working, built on trust and accountability.</li> <li>The opportunity to collaborate with talented international colleagues across multiple markets.</li> <li>Regular team events and additional perks that make work more enjoyable and help celebrate successes together. </li> </ul> <p><strong>Sounds like a fit?</strong></p> <p>Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway - we’re happy to explore together.</p>

Safety & Compliance Lead (Flight Operations/ Flight Test)

STARK

About Us Your mission Responsibilities Qualifications