Data Scientist – Quantitative Research & Development Lab

at  Deutsche Bank

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate03 Aug, 2024Not Specified05 May, 2024N/ADatasets,Statistics,Python,Research,C++,Computer Science,Kdb,Technical Subject Matter,Probability,Mathematics,Data Science,Java,Deep LearningNoNo
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Description:

POSITION OVERVIEW

Job Title Data Scientist – Quantitative Research & Development Lab
Location London
Corporate Title Vice President/Director
Group Strategic Analytics (GSA) 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 Quantitative Research and Development Lab is a newly established team within Deutsche Bank GSA. Its central mission is to empower the sales and trading functions with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning space.
You will be amongst the first experienced members of this team and have the opportunity to use your foundational knowledge and practical experience in the field of data science to deliver impactful solutions to the business, working closely with key stakeholders and together with partnering teams to deliver business solutions and provide support to sales and trading.

YOUR SKILLS AND EXPERIENCE

  • Expert working knowledge in deep learning and/or natural language processing, and a good foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation)
  • Experienced in research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions.
  • Good experience analysing large structured and/or unstructured datasets
  • Comfortable working both as an individual contributor and as a member of a collective team with the ability to communicate technical subject matter clearly and concisely tailored to diverse audiences
  • Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus.
  • Excellent academic/educational credentials in a relevant subject such as Mathematics, Computer Science or Data Science with advanced degrees such as MSc or PHD advantageous.

ABOUT US

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.
Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ+ inclusion.
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.
Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides

Responsibilities:

  • Responsible for building and developing quantitative data-driven Machine Learning models and tools to support front office sales and trading
  • Work in collaboration with partnering sales and trading (or related) teams to formulate the initiative’s problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators.
  • Conduct the required research and development across the full life-cycle, from idea inception to documentation and maintenance/improvement of the productionised solution.
  • Provide project management, coordination, and managerial oversight where required.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

MSc

Computer Science, Mathematics

Proficient

1

London, United Kingdom