At a Glance
- Tasks: Lead model development for innovative financial screening solutions and optimise existing models.
- Company: Join Deutsche Bank, a global leader committed to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, 30 days holiday, and flexible benefits.
- Other info: Be part of a supportive team focused on career growth and personal wellbeing.
- Why this job: Make an impact in financial services while developing your skills in a collaborative environment.
- Qualifications: Advanced degree in a quantitative field and 7+ years in analytical model development.
The predicted salary is between 80000 - 100000 £ per year.
This job is with Deutsche Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Position Overview
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. 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 Strats employer: Deutsche Bank
Deutsche Bank is an exceptional employer that prioritises employee development and wellbeing, offering a hybrid working model, competitive salary, and extensive benefits including private healthcare and generous holiday allowances. With a strong commitment to diversity and inclusion, the bank fosters a collaborative work culture where employees are encouraged to grow their careers while contributing to meaningful projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Deutsche Bank on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves model development and data science, be ready to discuss your experience with SQL, Python, and machine learning models in detail.
✨Tip Number 3
Show off your leadership skills! Be prepared to share examples of how you've led teams or projects in the past. Deutsche Bank values collaborative leadership, so highlight your coaching and mentoring experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Deutsche Bank team.
We think you need these skills to ace Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Model Development Team Lead role. Highlight your experience in developing analytical models and your expertise in data science, especially in financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your collaborative spirit and leadership experience, as these are key for us.
Showcase Your Technical Skills:Be sure to highlight your technical skills, especially in SQL, Python, and any experience with NLP or ML pipelines. We love seeing specific examples of how you've used these skills in past projects, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to the right team. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Deutsche Bank
✨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 strategies, as well as any specific challenges you've faced in the financial services sector.
✨Showcase Your Technical Skills
Highlight your proficiency in SQL, Python, and Spark during the interview. Be ready to provide examples of how you've built NLP/ML pipelines and designed evaluation frameworks for LLM use cases. This will demonstrate your technical expertise and ability to handle large-scale data processing.
✨Emphasise Collaboration and Leadership
Since this role involves leading a team and collaborating with various stakeholders, share examples of your leadership style and how you've successfully guided teams in the past. Discuss your approach to coaching and mentoring, and how you ensure effective communication across cross-functional teams.
✨Prepare for Regulatory Discussions
Given the importance of compliance in this role, brush up on your knowledge of model governance and validation standards. Be ready to discuss how you've handled internal audit queries and managed remediation actions in previous roles, showcasing your attention to detail and structured approach.
