Job ID: R0249629 Listed: 2023-03-06 Regular/Temporary: Regular Location: London Position Overview Job Title Quantitative Strategist - Data Platforms Location London Corporate Title Vice President You will join the Global Foreign Exchange (GFX) Data team, which aims to bring the data driven culture to the next level by providing new tools and solutions to the business. We are working on the full stack data problems including data engineering, data analysis business intelligence and machine learning/artificial intelligence (ML/AI). We adhere a plain team structure and support diverse thinking which is essential for approaching complex business and data problems. Our team will be there to coach and support your development to ensure you excel in this role and enhance your career prospects through exposure to these advanced technologies and tools and business knowledge. 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 centre. Hybrid Working We understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables employees to reach a working pattern that works for them. Eligible employees have the opportunity to work from the office and remotely from home (subject to the role's eligibility). 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 Responsible for data engineering problems, such as building new data feeds, cleaning, and transforming data (extract, transform, and load (ETL) Creating end user reports and analytics using Tableau, Python/Jupyter Undertaking AI and Machine Learning research and development projects Coordinating work, dependencies, and resources Continuously learn internal tools, business processes and data architecture Your skills and experience In-depth knowledge of SQL, experience with Clickhouse or KDB is a plus Good knowledge of Python and data manipulation and analysis libraries Familiarity with the Jupyter notebook ecosystem Experience with big data tools is desirable Knowledge of Data Science and AI/ML is desirable 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 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 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. Click here to find out more about diversity and inclusion at Deutsche Bank.