Job Title Senior Data Scientist - Transaction Monitoring Analytics
Corporate Title Vice President
The Group Strategic Analytics (GSA) concentrates the Bank's quantitative and modelling expertise within a single unit. With group-wide responsibility for model development GSA takes a cross-business and cross-functional approach to solving quantitative modelling and analytics challenges and rolls out common development standards.
You will be joining the Trader and Client Controls team within GSA, a team developing and deploying advanced solutions as a Control against trading fraud. The Controls run in a truly global scale, across all products, businesses, and regions that the IB and CB operate in, with the models reviewing millions of trades and transactions every day.
What we’ll offer you:
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.
You can expect:
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:
Develop a platform and sophisticated analytics to implement the aims of the Programme – to proactively monitor, identify, and prevent trading fraud. The project has very high visibility, both internally and externally
Full-stack development skills providing the ability to take a data product from inception through to production
Working across the full spectrum of the development lifecycle – from rapidly knocking out an end-to-end prototype to resolving production issues with the model
Problem solving at a globally complex scale – ability to navigate a complex organization in order to identify keys systems and influence people required to deliver the product
Your skills and experience:
Experience and understanding across the full-stack development environment - using machine learning and statistical modeling techniques in identifying patterns and signals
Experience as a Data Scientist, model review; engineering data pipelines across distributed, complex datasets; building User Interface (UI) dashboards
Excellent programming skills, predominantly understanding across the Python/Anaconda suite (scikit-learn, pandas, numpy), SQL
Excellent understanding of software engineering fundamentals; fluency across Windows and Linux development/deployment environments
Experience and understanding of distributed analytic engines, preference is Apache Spark / pyspark and associated ecosystem (e.g. MLlib); exceptionally strong mathematical/statistical/computer science fundamentals
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 culture of continuous learning to aid progression
About us and our teams:
Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.