Manager, Data Science and Machine Learning (Risk and Fraud)

About the Company

Responsibilities

• ● ng models at the heart of Trustly's transaction decisioning-determining whether each transaction is approved and guaranteed. Your work will directly influence how we manage risk, prevent fraud, protect our customers, and deliver fast, reliable payment experiences at scale.
• ● This is a hands-on leadership role. You will develop and ship production-ready models yourself while setting the technical direction for a team of data scientists and machine learning engineers. You will mentor and grow the team, establish strong modeling and experimentation practices, and take end-to-end ownership of its work-from roadmap and development through deployment, monitoring, and continuous improvement.
• ● You will partner closely with Risk, Product, Engineering, and Finance to translate complex risk challenges into practical machine learning solutions and measurable business outcomes.
• ● What You Will Do
• ● Build and Ship Models
• ● Build, validate, deploy, and continuously improve machine learning models for ACH return risk, fraud detection, and account takeover.
• ● Develop real-time, online, and offline features using transaction, account, device, network, and behavioral data.
• ● Design models that operate reliably in a low-latency, high-volume production environment.
• ● Design and analyze experiments to measure the impact of model and policy changes, including champion-challenger tests, holdouts, and staged rollouts.
• ● Quantify the impact of model changes across loss rates, approval rates, customer experience, merchant performance, and overall return on investment.
• ● Translate complex modeling results into clear insights and recommendations for nontechnical partners across Risk, Product, Finance, and the broader business.
• ● Lead and Develop the Team
• ● Mentor and develop a team of full-stack data scientists and machine learning engineers with strengths across both modeling and production engineering.
• ● Hire, assess, and level talent based on technical depth, business judgment, and the ability to build reliable production systems.
• ● Set a high bar for technical quality, execution, and accountability across the team.
• ● Take ownership of what the team delivers-what ships, when it ships, and how it performs in production.
• ● Own the model roadmap across ACH return risk, fraud, and account takeover, ensuring the team focuses on the highest-impact opportunities.
• ● Establish the team's operating cadence, including prioritization, model reviews, launch readiness, performance reviews, and postmortems following material loss events.
• ● Create an environment where the team can move quickly while maintaining strong standards for testing, documentation, governance, and production reliability.
• ● Own production model performance, including monitoring, drift detection, retraining schedules, model updates, and decisions about when a model should be modified or removed from service.

Requirements

• ● A bachelor's degree in a quantitative discipline such as statistics, mathematics, computer science, economics, engineering, or operations research.
• ● Proficiency with pandas and machine learning libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost.
• ● Knowledge of ACH or EFT payment systems, including NACHA return codes, return behavior, and return economics.
• ● Exposure to model-risk management and governance requirements within a financial-services environment.
• ● Applications for this role are accepted on an ongoing basis.
• ● LOCATION & WORKPLACE
• ● This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday.
• ● SALARY RANGES IN US-BASED ROLE POSTING
• ● Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include other perks and benefits.

Benefits

• ● At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way.
• ● Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong-a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way.
• ● We offer innovative perks and benefits packages that include:
• ● Flexible paid time off & generous PTO accrual plans
• ● Comprehensive medical, dental, vision, and other insurances
• ● FSA & HSA plans for medical and dependent care
• ● Home office set-up allowance
• ● Internet stipend
• ● Retirement plan match for 401k and RRSP
• ● Gender-neutral paid parental leave, and more
• ● (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.)
• ● At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.