Quantitative Research – Data Analytics for Markets Treasury – Associate
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Job Summary
Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan as well as a leader in financial engineering data analytics statistical modelling and portfolio management. As a global team QR partners with traders marketers and risk managers across all products and regions contributes to sales and client interaction product innovation valuation and risk management inventory and portfolio optimization electronic trading and market making and appropriate financial risk controls.
Job summary:
As an Associate within Quantitative Research Data Analytics Markets Treasury team in London you will play a key role in designing and implementing advanced models to assess risk as well as developing tools to predict and explain P&L. You will contribute to our strategic agenda to transform the investment bank into a data-driven business driving change through state-of-the-art AI and machine learning techniques and work closely with members of the Markets Treasury team and CIB Technology.
The team delivers data-driven solutions to complex challenges related to the management and reporting of liquidity funding and capital. Our mission is to develop analytics for the Commercial & Investment Bank (CIB) Markets Treasury group. Our work combines classical quantitative finance with modern machine learning techniques to deliver best-in-class analytics for pricing and risk management.
This role offers exposure to large-scale data analytics the application of AI automation of reporting processes and the creation of actionable insights for senior management and cross-functional teams. The successful candidate will collaborate with stakeholders across markets and technology to drive innovative solutions. This role provides a unique opportunity to enhance treasury management practices and support strategic objectives in a fast-paced evolving market environment.
Job Responsibilities:
Design efficient scalable and usable frameworks with the aim to improve data analytics capabilities for treasury applications
Conduct data analysis and identify or explain key factors within large sets of financial data
Partner with technology teams to scale and develop new analytical frameworks and optimization strategies
Have impact in transforming and modernizing a global investment bank
Required qualifications capabilities and skills:
You hold an advanced degree (Masters) or equivalent in a quantitative field: Computer Science Engineering Mathematics Physics
You have anexcellent programming skills with high proficiency in Python
You have experience designing building and deploying analytical data products
You have excellent software algorithm design and development skills
You demonstrate strong quantitative and problem-solving skills
You have experience with robust testing and verification practices
You have markets experience and familiarity with general trading concepts and terminology
Your excellent communication skills both verbal and written can engage partners and stakeholders on complex and technical topics which you can explain with exceeding clarity
Preferred qualifications capabilities and skills:
You have experience writing high quality java code
You demonstrate understanding of a banks balance sheet and / or have worked with financial optimization problems in a previous role
You understand the different types of financial risk and you can discuss in detail ways of managing these risks
Required Experience:
IC
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Mammalian Cell Culture
- Biochemistry
- Cell Biology
- Research Experience
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
- Western Blot
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
