Equity Quant Trader [Multiple Positions Available]

Fairygodboss; New York (NY); On-site; USD 260,000 - 285,000; Full time

Job summary

JPMorganChase in New York conducts quantitative trading within the US Program Trading (PT) Risk team. The role focuses on trading and risk management for index rebalancing and special situations, building index prediction models with Python and KDB, and testing indicators across large datasets.

You will define systematic trading processes, monitor automated execution, and apply Barra risk models with optimization to reduce risk and improve performance.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Finance, Economics, or related field plus 3 years of experience.
• Experience with sell-side quantitative trading, including algorithmic trading and model-driven portfolio trading.
• Proven ability to build systematic index prediction models and backtest index strategies with Python and KDB.

Responsibilities

• Work as a quantitative trader on the US Program Trading Risk team.
• Handle trading and risk management of index rebalancing and special situations.
• Build systematic index prediction models for index rebalancing events.
• Test indicators on datasets, integrating advanced quantitative techniques.
• Define quantitative processes to trade strategies in a systematic framework with algo-trading.
• Monitor automated processes for program trade execution.
• Utilize portfolio construction to reduce factor risks via optimization.
• Integrate performance analytics into program trading infrastructure for efficiency.
• Interact with trading, sales teams, and clients across Equities and PT sales.

Skills

Quantitative trading

Algorithmic trading

Python

KDB

Barra risk models

Minimum Variance Optimization

Backtesting

Data visualization

JavaScript

SFTP data handling

Education

Bachelor's degree in Statistics/CS/Finance/Economics

Tools

Python

KDB

JavaScript

SFTP

Job 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 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 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

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.