Model Developer, Trading and Client Controls in London

Location: London

Corporate Title: Vice President

Group Strategic Analytics is part of Group Chief Operation Office (COO) 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. The Trading and Client Controls (TaCC) team sits within Deutsche Bank's Group Strategic Analytics. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will be responsible for driving the development of our core models and controls to help identify fraud. As part of this, you will take ownership of a problem set, manage stakeholders, and drive growth of a high-quality code base.

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:

• Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice.
• Develop and evolve platform reporting statistics/data to monitor ongoing model success.
• Engage key stakeholders to understand needs and requirements.
• Provide guidance on usage and translating needs for changes/new models into technical proposals.

Your skills and experience:

• Previous relevant experience conducting data science or model development in a business setting.
• Educated to bachelor’s degree level or equivalent qualification/relevant work experience.
• Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy).
• Excellent analytical and data science skills, including ability to independently drive research.
• Excellent communication skills, both written and verbal. Ability to manage multiple stakeholders is beneficial.
• Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management).

How we’ll support you:

• Training and development to help you excel in your career.
• Flexible working to assist you balance your personal priorities.
• Coaching and support from experts in your team.
• 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 (for example, 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 have been named for six consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their for our work supporting LGBTQ+ inclusion. 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.