Job description
J.P. Morgan's Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
About Global Research
The firm's Research team provides clients with informed views and actionable ideas on economic indicators, markets, companies and asset classes around the world. Its top ranked research analysts, strategists and economists are located in 27 countries in developed and emerging economies. CIB Research strives to be a leader in articulating its unique and independent perspectives in the regions where we want to do business.
Clients of the CIB, Asset Management, and other lines of business value the expertise of Research in helping them achieve their objectives. They recognize its commitment with top-tier rankings in surveys conducted by Institutional Investor, Greenwich Associates, Orion and many others.
Team Overview
The goal of Research Digital Product is to create a commercial platform that seamlessly delivers all of J.P. Morgan's capabilities to clients when and how they want them, aligning our technology, data, digital solutions, and operational services to provide an unparalleled experience.
Opportunity
Join a highly functional team of deep subject matter expertise working to pioneer industry leading data products. The Data Engineering Product Manager will partner with Research analysts, software engineers, systems architects, and go to market teams to construct an innovative set of cross asset data products for commercialization. The successful candidate will analyze, transform and clean time series data sets using a variety of statistical and programming techniques.
Responsibilities
- Apply strong software engineering skills (Python) as well as the ability to write SQL queries to a portfolio of data engineering challenges.
- Familiarity with practices such as moving averages, quantitative methods, e.g. calculating the running historical volatility of a time series of returns. Strong interest in economic and financial data. The exact nature will vary from project to project
Requirements
- BS in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, with experience in a quantitative position
- Hands-on experience analyzing data
- Strong ability to develop and debug in Python or similar professional programming language
- Ideally, some experience with machine learning APIs and computational packages
- Interest in learning and applying data science techniques over time
- Should be able to work both individually and collaboratively in teams, in order to achieve project goals
- Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems
- Must be able to independently research and propose alternatives with some guidance as to problem relevance
- Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders
- Experience applying either programming techniques for data analysis to drive business results
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
