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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 .

Rotermanni kvartalis

Tallinna Sadamas suvisel perioodil

(asenduskoht)

Kivila kauplus, Tallinn

FinCrime Operations Senior Lead - PEP & Adverse Media

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 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, 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 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: At least 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 (PEP, Adverse Media, Sanctions, 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 STEM, 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 are interested in the position, please apply by submitting your CV and Cover Letter in English. (You can include your cover letter into the "Message to the Hiring Team" section). In your Cover Letter, please answer the following questions: 1. Describe how you built and led a high-performing Financial Crime operations team (including team leads and specialists). How did you hire, coach, and address underperformance, and what KPIs/SLAs did you improve? Please quantify the outcomes. 2. Share an example where you designed and scaled a risk-based process for high-risk or complex customers. How did you balance regulatory requirements with customer experience, leverage data/automation, and measure quality and efficiency gains? Internal Hiring Guidelines can be found here . Internal candidates are encouraged to talk to their Team Lead before submitting their application. Benefits: Brutto Starting Salary: 4350 EUR Restricted Stock Units (RSU) Paid Sabbatical Other Benefits Role Timeline: This position remains open until we have identified sufficient strong candidates. When to expect a response: We aim to respond to all applicants as quickly as possible. However, due to high application volumes, there may be some delays. Here are our expected review timeframes: • CV & Cover Letter Review - 2 working days • Recruiment ScreeeningFirst/Second/Final Interview - 5 working days 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 .

Liitu meie köögiga ning aita luua kestlikku toidukunsti!

lisatöö Saku Rimis

lisatöö Rocca al Mare Prismas

Suures mööblikeskuses Lasnamäel

Delivery Lead

Proekspert

About the company Proekspert is a fast-growing IT company providing tailored, high-impact solutions for the manufacturing and smart device industry across Europe. The role We're looking for a Delivery Lead who combines architect-level technical expertise, team leadership experience, and strong client-facing skills. You'll be responsible for ensuring successful delivery across projects in the Business Unit- from technical pre-sales to solution design and execution. You'll work closely with engineering teams, shaping solutions, guiding implementations, and building trusted relationships that support long-term success. Your work will be focused on the following: Lead architecture, planning, and execution across multiple projects within the Business Unit scope. Be the technical voice in customer meetings- support sales, validate needs, and translate them into viable solution approaches. Guide and mentor delivery teams, removing blockers and keeping focus on delivery. Create people's development plans, knowing the technology trends, needs and creating individual plans for people according to the technologies and competencies needed in the Unit. Ensure engineering quality, architectural soundness, and scalability of delivered solutions. Oversee project health across the lifecycle- onboarding, execution, and ramp-down. Align delivery practices with business goals- balancing speed, quality, and maintainability. Drive continuous improvement through knowledge sharing and engineering best practices. Qualifications You'll Excel in This Role If You: Have a solid technical foundation and hands-on experience as a Solution Architect or Senior Engineer. Have led small team(s) and have leadership and mentorship skills with the ability to inspire engineers and help them grow professionally. Can confidently participate in technical pre-sales, solution planning, and client communication. Understands both technical detail and business context, and can act as a bridge between the two. Have great collaboration and communication skills, and the ability to influence and collaborate with different stakeholders. Have strong analytical skills to identify and resolve technical challenges and roadblocks. Show initiative, learn continuously, be curious and care about delivering impactful results. Have a Bachelor's degree or higher in Information Technology or a related field. Excellent spoken and written English. The Estonian language is a plus. Additional information What we offer: Meaningful work with real-world impact. We care deeply about the well-being of our people and their families. Inspiring community and teams that support and mentor you. An exciting benefits package, including a personal growth budget and profit-sharing.

WFM Operations Partner Senior Lead

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 Workforce Management Operations Partner Senior Lead to join our Operational team in our Tallinn office! The WFM Operations Partner Senior Lead is accountable for the WFM–Operations partnering model, ensuring Workforce Management disciplines are consistently embedded into operational decision-making across the business. This role owns the quality, consistency, and effectiveness of WFM partnership with Operations, ensuring that intraday, scheduling, and capacity principles are applied correctly, escalations are handled with discipline, and short-term decisions do not undermine medium- and long-term workforce plans. The role does not execute tactical WFM activities or own forecasting, scheduling, or intraday delivery. Instead, it leads the Ops Partner function, sets standards, manages people, and acts as the senior WFM representative in complex operational trade-offs. Your mission is to institutionalise WFM decision-making inside Operations, moving the organisation from reactive firefighting to predictable, data-driven execution at scale. Your Mission The WFM Operations Partner Lead is accountable for the people, standards, and decision quality of the WFM Operations Partner function. This includes direct line management of Ops Partner Leads and dotted-line functional leadership over Intraday and Scheduling Specialists. Act as the direct people manager for WFM Operations Partner Leads, with accountability for: hiring, onboarding, and role clarity performance management, GrowWise cycles, and calibration ongoing coaching, feedback, and development. Set and reinforce clear expectations for: decision quality stakeholder behaviour adherence to WFM principles and frameworks. Develop Ops Partner Leads from: metric interpretation structured decision support confident, evidence-based challenge of Operations leadership. Ensure consistent capability, judgement, and behavioural standards across the Ops Partner team through calibration and peer review. Act as the senior WFM representative to Operations Heads and senior Ops leaders. Own the quality and consistency of workforce decisions taken by Operations. Serve as the final escalation point for workforce-related decisions that materially impact service, cost, or workforce sustainability. Qualifications Must have: 4+ Years WFM/Ops Experience: Proven track record in high-volume, scaled environments (Contact Centers or Shared Services). Financial Services Knowledge: Specific understanding of KYC, FinCrime, or regulated operational environments. The "Translator" Ability: Capable of turning complex WFM jargon (Erlang, Shrinkage, Occupancy) into clear, actionable business advice. Strategic Assertiveness: The backbone to constructively challenge senior leaders and say "no" when decisions undermine WFM plans Analytical Reasoning: Ability to interpret data trends and identify leading vs. lagging indicators rather than just reading metrics. Stakeholder Management: Experience acting as a partner rather than just a reporting function; comfortable operating with Heads of Departments. Forward-Looking Mindset: A bias toward proactive risk identification and prevention rather than reactive firefighting. Change Management: Experience driving the adoption of new playbooks or frameworks across different operational units. Nice to have: Tool Proficiency: Functional familiarity with WFM software (e.g., Calabrio, NICE, Verint) to understand outputs and constraints. Coaching & Mentorship: Experience in a lead or mentor capacity, specifically helping others improve their decision-making quality. SQL or Data Viz Skills: Ability to self-serve data using tools like Looker to verify trends before stakeholder meetings. Additional information This role is part of the global WFM organization, reporting to the Functional Head of WFM. Team Goal: To protect the scalability of Wise. The team’s mission is to ensure that WFM insights are actually adopted and applied, ensuring we hit our SLAs efficiently as the company grows. Salary: 4950 EUR - 6600 EUR Relocation and Visa support available 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 .