Senior Data Science/ML Engineer - Financial Crime

United States Digital Space LLC; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Virtual Stock Option programme

€2,000 L&D budget

Company pension scheme (20% match)

28 days paid leave + holidays

Urban Sports Club subsidy

Kita placement assistance

Subsidised office lunches

Break4me sabbatical after 3 years

Referral bonus

Zusammenfassung

United States Digital Space LLC in Berlin is seeking a Senior Data Scientist to advance transaction monitoring through ML pipelines, feature engineering, and scalable model deployment. You will own the full model lifecycle from exploration to monitoring in a high-stakes, regulated environment.

You will collaborate with Risk, AML, product and engineering to translate regulatory requirements into robust data science solutions, build governance artefacts, and continuously improve detection quality

Qualifikationen

• Production Python engineering in a real production environment.
• Experience deploying and operating ML models in production.
• Experience training ML models and selecting KPIs for evaluation.
• Hands-on data engineering across multi-source data ecosystems.
• Ability to translate compliance requirements into technical plans.

Aufgaben

• Build and ship production ML systems end to end, including training pipelines, monitoring, and deployment.
• Develop ML models for transaction monitoring focusing on quality, efficiency, and compliance.
• Engineer features mapped to AML and fraud typologies with risk investigators.
• Run sensitivity tests on synthetic data and deliver audit-ready governance artifacts.
• Analyze driver contributions to AML risk score and suggest feature improvements.
• Collaborate across AML, Fraud Ops, Product and Engineering to deliver scalable DS solutions.

Kenntnisse

Production Python

End-to-end ML pipelines

Model productionizing

Data engineering fundamentals

Clear communication

Tools

PySpark

Jobbeschreibung

Team descriptionThe Risk AI Engineering Squad is a cross-functional team within the Risk & Compliance tribe, responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We combine automation, AI, and engineering excellence to build innovative products that empower Risk and AML teams to work smarter, faster, and more efficiently.

The Senior Data Scientist role is critical to advancing our transaction monitoring capabilities through machine learning, feature engineering, and scalable model pipelines. You will work across the full model lifecycle — from typology understanding and data exploration to feature development, training, validation, deployment, and monitoring — helping ensure our Risk and AML controls remain effective, auditable, and compliant across products and markets.

We actively welcome applications from women and people from underrepresented backgrounds. Diverse perspectives make our team stronger and our systems more robust. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this role is built for you.

Join us to shape the future of financial safety and make a lasting impact!

What you\'ll do

• Build and ship production ML systems end to end: own and evolve end-to-end batch training pipelines, model versioning, monitoring, model deployment, and rollback for transaction monitoring models.
• Build, maintain, and improve ML models for transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance
• Engineer features mapped to AML and Fraud typologies and suspicious behaviours, working closely with Risk investigators to translate domain knowledge into alerting logic and threshold calibration
• Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations
• Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds
• Partner with AML and Fraud Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions
• Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation

You'll be great for this role if you have…Must have

• Production Python engineering: you write code that ships — you\'re comfortable with CI/CD, automated testing, versioning, and monitoring in a real production environment
• End-to-end ML pipeline experience: demonstrated experience deploying and operating ML models in production, including drift monitoring and rollback
• Modelling and productionalizing models: demonstrated experience training ML models, choosing appropriate KPIs and metrics for evaluation.
• Data engineering fundamentals: hands-on experience with complex, multi-source data ecosystems, data quality, and lineage
• Clear, confident communication: ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance requirements into a concrete technical plan

Nice to have

• Experience with Pyspark
• Experience in AML, fraud detection, or financial crime domains
• Unsupervised machine learning (e.g. anomaly detection, clustering)
• Familiarity with Feature Stores and alerting threshold calibration
• Experience producing regulatory ML governance artefacts (model cards, audit documentation)
• Experience with AI systems and tooling

Why you should join the company

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone\'s perspectives are respected and embraced
• Enrolment onto our Virtual Stock Option programme: you will own a stake in the company\'s future success
• A dedicated annual L&D budget of €2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education
• A corporate pension scheme where we match up to 20% of your contributions
• Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, and subsidised office lunches
• Break4me: 1-month sabbatical after 3 years of service
• Referral Bonus: earn additional rewards by referring talented individuals to join the the company team

About the company

Be empowered to do more that matters.

At the company, we\'re on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on the company as their financial partner to manage payments, finance and customer relationships.

Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify.

the company is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don\'t make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don\'t tick every box, it\'s ok too because it means you have room to learn and develop your career at the company.

Find Jobs in Germany on Arbeitnow