At a Glance
- Tasks: Lead model development for Name List and Transaction Screening, optimising strategies and collaborating with teams.
- Company: Join Deutsche Bank, a leading global bank with a commitment to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits tailored to you.
- Other info: Dynamic team environment focused on personal growth and well-being.
- Why this job: Make an impact in financial services while developing cutting-edge models and advancing your career.
- Qualifications: Advanced degree in a quantitative field and 7+ years in analytical model development required.
The predicted salary is between 80000 - 100000 £ per year.
Location: London
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.
What we’ll offer you:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
- 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.
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
- 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.
Your 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 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.
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 such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards).
About us:
Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.
If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge to discuss.
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.
Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London employer: Dormont Manufacturing Co
Deutsche Bank is an exceptional employer, offering a dynamic work environment in London that prioritises employee development and wellbeing. With a commitment to hybrid working, competitive salaries, and a range of flexible benefits, employees are empowered to thrive both professionally and personally. The collaborative culture fosters growth opportunities, making it an ideal place for those looking to lead innovative model development in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Deutsche Bank. A friendly chat can open doors and give you insider info on the team and culture.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with model development, especially in Anti-Financial Crime. Show us how you’ve tackled complex problems in the past!
✨Tip Number 3
Don’t forget to showcase your leadership skills! Talk about how you've led teams or projects, especially in collaborative settings. We love seeing candidates who can inspire and guide others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Deutsche Bank.
We think you need these skills to ace Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model [...] in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in model development, especially in the context of Name List Screening and Transaction Screening. We want to see how your skills align with our needs!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with SQL, Python, and any machine learning models you've developed. We love seeing candidates who can demonstrate their hands-on experience.
Highlight Collaboration Experience:Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated in the past. We value teamwork and want to know how you can contribute to our collaborative culture.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Models Inside Out
Make sure you have a solid understanding of the models you'll be working with, especially in the context of Name List Screening and Transaction Screening. Be prepared to discuss your experience with model development, tuning, and optimisation, as well as any specific techniques you've used in the past.
✨Showcase Your Technical Skills
Highlight your proficiency in SQL, Python, and any experience with Spark for large-scale data processing. Be ready to provide examples of how you've built NLP/ML pipelines and designed evaluation frameworks, as these are crucial for the role.
✨Demonstrate Collaborative Leadership
Since this role involves leading a team, emphasise your interpersonal skills and experience in coaching and mentoring. Share specific instances where you've successfully engaged stakeholders or led cross-functional teams to achieve common goals.
✨Prepare for Regulatory Discussions
Familiarise yourself with model governance and validation standards, as well as any relevant regulatory requirements. Be ready to discuss how you've handled internal audit queries and managed remediation actions in previous roles.