At a Glance
- Tasks: Lead a team to develop cutting-edge models for Name List and Transaction Screening.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and private healthcare.
- Other info: Flexible benefits and a commitment to diversity and inclusion.
- Why this job: Make a real impact in anti-financial crime with advanced data science techniques.
- Qualifications: Advanced degree in a quantitative field and 7+ years in model development.
The predicted salary is between 80000 - 100000 £ per year.
This role leads the model development across Name List Screening (NLS) and Transaction Screening (TS), supporting incumbents and designing and building new state‑of‑the‑art models. It requires strong data science, modelling expertise, and a delivery‑focused mindset.
Key Responsibilities
- Lead the model development team, setting priorities, standards and ways of working
- Own end‑to‑end delivery of new SOTA challenger models
- Tune and optimise 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 with stakeholders to respond to internal audit queries and manage remediation actions and findings
Skills and Experience
- 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 NLP/ML/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
Benefits
- Hybrid Working – eligible employees can work remotely part of the time
- Competitive salary and non‑contributory pension
- 30 days’ holiday plus bank holidays, with the option to purchase additional days
- Life Assurance and Private Healthcare for you and your family
- Flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
- Opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
How we’ll support you
- Flexible working to assist you balance your personal priorities
- A range of flexible benefits that you can tailor to suit your needs
- We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability, including the provision of assistive equipment if required (e.g., screen readers, assistive hearing devices, adapted keyboards)
- We welcome applications from all people and promote a positive, fair and inclusive work environment. If you have a disability, health condition, or require adjustments during the application process, we encourage you to contact our Adjustments Concierge.
Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] employer: Deutsche Bank AG
As a Model Development Team Lead in London, you will thrive in a dynamic and inclusive work environment that champions innovation and collaboration. Our commitment to employee growth is reflected in our flexible working arrangements, competitive benefits, and a strong focus on diversity, ensuring that every team member can contribute meaningfully while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in model development or financial services. 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 previous projects, especially those involving NLP, ML, or AI pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview by being ready to discuss your experience with model governance and validation standards. Be prepared to share specific examples of how you've tackled challenges in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...]
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Model Development Team Lead. Highlight your experience in developing analytical models and any relevant skills in NLP, ML, or AI. We want to see how your background aligns with our needs!
Showcase Your Leadership Skills:Since this role involves leading a team, don’t forget to showcase your leadership experience. Talk about how you've coached or mentored others, and how you’ve set priorities and standards in previous roles. We love a collaborative spirit!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your achievements and experiences. We appreciate straightforward communication!
Apply Through Our Website:Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Deutsche Bank AG
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest developments in model development, especially around Name List Screening and Transaction Screening. Brush up on your knowledge of state-of-the-art models and be ready to discuss how you would lead a team in developing these.
✨Showcase Your Technical Skills
Be prepared to demonstrate your expertise in SQL, Python, and Spark. You might be asked to solve a technical problem or explain your experience with NLP/ML/AI pipelines, so have specific examples ready that highlight your skills and achievements.
✨Highlight Your Leadership Experience
This role requires strong leadership capabilities, so think about times when you’ve successfully led a team or project. Be ready to share how you set priorities, mentored others, and engaged stakeholders to achieve results.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making processes. Think through potential scenarios related to model governance, bias testing, and auditability, and be ready to discuss how you would handle them.
