DESCRIPTION:
Duties: Work as a quantitative trader on the US Program Trading (PT) Risk team. Handle the trading and risk management of index rebalancing and special situation strategies. Build systematic index prediction models to anticipate Index Rebalancing events. Test indicators on various dataset integrating advanced quantitative technics. Define quantitative process to trade strategies in a systematic framework, leveraging algo-trading capabilities. Monitor automated processes for program trade execution. Utilize portfolio construction principles to reduce factor risks through optimization technics. Integrate performance analytics into program trading infrastructure to improve its efficiency. Interact with trading, sales teams, and clients across the Equities division and engage with the Program Trading (PT) sales team on facilitating client trades, generate content and trading commentary. Forecast index related expected flow and associated market impact. Conduct active risk management and taking appropriate trading decisions to keep the risk profile of the business inline with the policy.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Statistics, Computer Science, Finance, Economics, or related field of study plus 3 years of experience in the job offered or as Equity Quant Trader, Equity Portfolio Trading, or related occupation.
Skills Required: This position requires three (3) years of experience with the following: Utilizing sell-side quantitative trading techniques, including algorithmic trading and model-driven portfolio trading, in support of large-scale trading strategies, such as index rebalancing or other liquidity events, to balance liquidity and risk factor exposures, achieve cost-efficient implementation and enhance overall trading performance and revenue generation. This position requires two (2) years of experience with the following: Building systematic index prediction models including Python and KDB from diversified and thematic US index providers for scheduled events and special situations; building systematic and dynamic backtest in python and KDB on index strategies; utilizing statistical modeling including linear and logistic regression to perform alpha research, turnover reduction, market impact analysis, automatic pricing engine parameter calibration, clients tiering and generate reports on key performance metrics; utilizing Barra risk models and Minimum Variance Optimization models to reduce the risk of the portfolio; developing and backtesting systematic, end to-end, statistical arbitrage trading and quantitative event-driven strategies, independent of index rebalancing; utilizing KDB to build automated process to read, parse and store large scale index constituents data from Secure File Transfer Protocol (SFTP) sites; building interactive dashboards using JavaScript for data visualization and report generation; Developing using python, monitoring, and configuring algorithmic trading systems; Initiating and implementing systematic checks using Python to prevent system breaks; Author, publish, distribute research and commentary around index changes events to clients and sales, advising clients on trading opportunities and index inclusion.
Job Location: 270 Park Avenue, New York, NY 10017.
Full-Time. Salary: $260,000 - $285,000 per year.
About UsWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Bachelor's degree in Statistics, Computer Science, Finance, Economics, or related field.
- Minimum 3 years experience as an Equity Quant Trader, Equity Portfolio Trader, or related role.
- Minimum 3 years utilizing sell-side quantitative trading techniques, including algorithmic trading and model-driven portfolio trading for large-scale strategies (index rebalancing/liquidity events).
- At least 2 years building systematic index prediction models using Python and KDB from US index providers for scheduled events and special situations.
- At least 2 years building systematic and dynamic backtests in Python and KDB on index strategies.
- Experience utilizing statistical modeling (linear and logistic regression) for alpha research, turnover reduction, market impact analysis, and pricing engine calibration.
- Experience utilizing Barra risk models and Minimum Variance Optimization models to reduce portfolio risk.
- Developing and backtesting systematic, end-to-end statistical arbitrage and event-driven trading strategies.
- Experience using KDB to build automated processes to read, parse, and store large-scale index constituent data from SFTP sites.
- Building interactive dashboards and reports using JavaScript for data visualization and report generation.
- Developing, monitoring, and configuring algorithmic trading systems and implementing systematic checks using Python to prevent system breaks.
- Authoring and distributing research and commentary on index events and advising clients and sales on trading opportunities.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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