Commodities Systematic Trading - Associate (Mumbai)
JPMorganChase · Mumbai, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Mumbai, Maharashtra, India
Job highlights
- Support systematic trading in commodities markets.
- Build and maintain trading tools and strategies.
- Analyze large datasets for alpha research.
- Collaborate with traders and developers globally.
- Requires Python, data analysis, and KDB experience.
About the role
Commodities Systematic Trading Associate
J.P. Morgan is seeking a Trader support to join our Commodities Systematic Trading team. The candidate will be embedded in our cross-market systematic effort which touches portions of alpha generation, e-trading, and data science and machine learning.
As an Analyst within the Commodities Systematic Trading team, you will focus on commodities markets. The ideal candidate should be responsible, independent, and driven, with the ability to work seamlessly with a global team and the potential to lead a local team. The environment is fast-paced, dynamic, and highly collaborative within a globally distributed group.
Job Responsibilities
- Build and maintain tools, UIs and frameworks supporting our systematic risk taking in our commodities trading businesses.
- Build and maintain systematic strategies and performance monitoring and attribution systems.
- Enhance the robustness and integration of the tools and models within the wider asset class efforts.
- Process, clean and analyse large datasets used in the context of alpha research.
- Work closely with traders to learn, understand and improve relevant tools and models.
Required Qualifications, Capabilities And Skills
- Extensive professional experience in software development, with a strong focus on Python.
- Experience with data analysis techniques along with relevant data science libraries (numpy, pandas, etc.) and visualization tools (dash, panel).
- Knowledge of database systems (KDB).
- Strong interpersonal and communication skills; ability to collaborate effectively with traders, quantitative researchers and software developers.
- Exceptional attention to detail and outstanding work ethic.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a related field.
Preferred Qualifications, Capabilities And Skills
- Knowledge of futures (commodities a plus) and how Experience with systematic / quant research at any velocity (high, medium, low).
- Proficiency in Python.
- Experience working collaboratively on common codebases using git.
- Experience in data cleaning, processing, and migration.
About Us
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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Key skills/competency
- Python
- Data Analysis
- Data Science
- Systematic Trading
- Commodities Markets
- Software Development
- KDB
- Quantitative Research
- Databases
- Git
Skills & topics
- Commodities
- Systematic Trading
- Associate
- Python
- Data Analysis
- Software Development
- Quantitative Research
- Trading Support
- KDB
- Financial Markets
How to get hired
- Tailor your resume: Highlight Python, data analysis, and KDB experience for the Commodities Systematic Trading Associate role.
- Showcase relevant projects: Include any experience with systematic or quant research, and data cleaning.
- Prepare for technical questions: Brush up on Python, data science libraries (numpy, pandas), and database systems.
- Demonstrate collaboration skills: Be ready to discuss how you've worked with traders and developers.
- Highlight attention to detail: Emphasize your meticulous approach in previous roles.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific commodities experience is most valuable for the Commodities Systematic Trading Associate role at J.P. Morgan?
- While knowledge of futures markets, especially commodities, is preferred, the core requirement is a strong foundation in systematic trading principles and quantitative research. Demonstrating experience in processing and analyzing large datasets, along with proficiency in Python and data science libraries, will be highly beneficial for this Commodities Systematic Trading Associate position.
- How important is KDB knowledge for this Commodities Systematic Trading Associate position?
- Knowledge of database systems, particularly KDB, is a required qualification for the Commodities Systematic Trading Associate role. While experience with other database systems might be transferable, specific KDB experience will significantly strengthen your application.
- What kind of projects should I highlight on my resume for the Commodities Systematic Trading Associate job?
- For the Commodities Systematic Trading Associate position, highlight projects involving software development in Python, data analysis using libraries like numpy and pandas, building UIs or frameworks, and any experience with systematic or quantitative research. Also, include projects related to data cleaning, processing, and performance monitoring systems.
- How does J.P. Morgan foster collaboration within its global teams for roles like the Commodities Systematic Trading Associate?
- J.P. Morgan emphasizes a highly collaborative environment. For the Commodities Systematic Trading Associate role, this means working closely with traders, quantitative researchers, and software developers across different time zones. Proficiency in using tools like Git for common codebases is also encouraged.
- What is the expected work arrangement for the Commodities Systematic Trading Associate position in Mumbai?
- The job description for the Commodities Systematic Trading Associate role in Mumbai indicates an embedded position within a global team. While not explicitly stated as remote or hybrid, the nature of systematic trading support often involves on-site collaboration with traders and the wider team for immediate issue resolution and strategic development.