At a Glance
- Tasks: Lead model development for innovative financial solutions and optimise existing models.
- Company: Join a leading bank's strategic analytics team focused on transformation and efficiency.
- Benefits: Competitive salary, career growth opportunities, and a collaborative global team environment.
- Other info: Emphasis on people development and strong leadership within a dynamic, regulated environment.
- Why this job: Make a real impact in financial crime prevention using cutting-edge AI and machine learning.
- Qualifications: Advanced degree in a quantitative field and 7+ years in analytical model development.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)
- 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime / Screening)
- Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring
- Experience designing evaluation frameworks for LLM use cases (e.g., human-in-the-loop, calibration, guardrails, auditability)
- Experience with hyperparameter tuning at scale and experimentation frameworks
- Strong technical experience with SQL and Python; significant experience with Spark for large-scale data processing
- Excellent interpersonal skills with demonstrable collaborative leadership capabilities (coaching, mentoring, guiding, delivery ownership and stakeholder engagement) and strong standards for documentation and controls in a regulated environment
What the job involves
- Corporate Title Vice President
- Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank
- You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state‑of‑the‑art (SOTA) models
- You will bring strong data science and modelling expertise, a delivery‑focused mindset, and a structured, detail‑oriented approach to solving complex tasks. You will also drive model tuning, contribute to regulatory and governance deliverables, and collaborate with cross‑functional teams including Anti‑Financial Crime, Operations and Technology
- You will work in a collaborative global team and focus on people development and career growth
- Lead the model development team, setting priorities, standards and ways of working
- Understand and own end‑to‑end delivery of new SOTA challenger models
- Tuning and optimising strategies for incumbent models
- Design and govern the use of Large Language Models (LLM)-as‑judge approaches within alert handling processes (evaluation framework, quality controls, bias/robustness testing and auditability)
- Document model logic, assumptions, limitations and test outcomes in line with Model Governance and validation standards
- Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings
Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats) in London employer: Deepstreamtech
As a Model Development Team Lead at our esteemed financial institution, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer exceptional employee growth opportunities, including access to cutting-edge technology and professional development programmes, all while being part of a global team dedicated to combating financial crime. Our commitment to excellence is matched by our supportive environment, making us an outstanding employer for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work with model development or anti-financial crime. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your experience with NLP, ML, and AI pipelines. Use real-world examples of your work, especially any projects that involved model tuning or evaluation frameworks. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL and Python. Consider mock interviews with friends or use online platforms to simulate the experience. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining StudySmarter. Tailor your application to highlight your leadership skills and collaborative mindset, as these are key for the Model Development Team Lead role.
We think you need these skills to ace Model Development Team Lead (Name List Screening & Transaction Screening, Model Strats) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your advanced degree and relevant experience in your application. We want to see how your background in quantitative disciplines and your 7+ years in developing analytical models can contribute to our team.
Be Specific About Your Experience:When detailing your experience with NLP, ML, and AI pipelines, be as specific as possible. Share examples of projects you've worked on, especially those involving feature engineering and model evaluation, so we can see your expertise in action.
Demonstrate Your Leadership Style:Since this role involves leading a team, let us know about your collaborative leadership capabilities. Share instances where you've coached or mentored others, and how you’ve engaged stakeholders to drive successful outcomes.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets into the right hands quickly!
How to prepare for a job interview at Deepstreamtech
✨Know Your Models Inside Out
Make sure you can discuss your experience with analytical and machine learning models in detail. Be prepared to explain the methodologies you've used, especially in Anti-Financial Crime contexts. This will show your depth of knowledge and how you can contribute to their model development.
✨Showcase Your Technical Skills
Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built NLP/ML pipelines or worked with Spark for large-scale data processing. Highlighting your technical expertise will demonstrate that you're the right fit for the role.
✨Demonstrate Leadership and Collaboration
Prepare examples that showcase your leadership capabilities, particularly in coaching and mentoring. Discuss how you've engaged with cross-functional teams and managed stakeholder relationships. This will illustrate your ability to lead the model development team effectively.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory and governance standards relevant to model development. Be ready to discuss how you've ensured compliance in past roles, particularly around documentation and auditability. This knowledge will be crucial for the position.
