Quantitative Research Equities – Alpha Quant - Vice President

JPMorganChase

Plano (TX)

On-site

USD 180,000 - 290,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support
On-site wellness centers

Job summary

A global financial institution is seeking a Vice President for Quantitative Research in Equities. In this role, you will drive innovation by optimizing trading processes through advanced data analytics and modeling. The ideal candidate should possess a strong quantitative background, practical problem-solving skills, and proficiency in programming languages like Python and C++. This position offers competitive compensation and benefits.

Qualifications

  • Strong quantitative background and problem-solving skills.
  • Direct working knowledge of signal research with market data.
  • Excellent communication skills to engage stakeholders.
  • Proficient in code design and programming with Python, KDB, C++, or Java in a commercial environment.
  • Hands-on data analytics experience with large-scale, high-dimensional data.

Responsibilities

  • Build end-to-end signal research infrastructure.
  • Design and implement trading strategies.
  • Develop models for market making.
  • Develop robust portfolio optimization including drawdown management.
  • Research factor models affecting cash and vol markets; analyze performance across regimes.
  • Perform PnL analysis to rationalize gains and leakage.
  • Develop models for market making using statistics, ML, or heuristics.
  • Collaborate with QR teams to build reusable research libraries and backtesting tools.

Skills

Quantitative background
Problem-solving skills
Signal research
Proficiency in Python
Data analytics skills
Strong communication skills
Data analytics
Ownership
Communication

Education

Graduate degree in quantitative field

Tools

Python
KDB
C++
Java

Job description

Overview

Quantitative Research Equities – Alpha Quant - Vice President. As a Quantitative Researcher, you will drive innovation and optimize trading processes through advanced data analytics and modeling within our equities trading teams. You will focus on data processing, signal feature construction, signal research, and systematic trading to shape the alpha research agenda and enable business transformation.

Responsibilities
  • Work closely with trading to build end-to-end design and implementation of daily and intraday signal research infrastructure, with special focus on central risk trading.
  • Be involved in the whole spectrum of tradables ranging from cash to vanilla options in singles, ETFs and major indices.
  • Contribute from idea generation to production implementation: perform research, design prototype, implement signals, alpha calibration, and trading strategies, support their daily usage, and analyze their performances.
  • Develop robust portfolio optimization framework including drawdown management for signal weighting and maximizing various utility functions.
  • Research on factor models driving the cash and vol markets; Analyze factors and strategy performance under different market regimes.
  • Devise in depth PnL analysis to rationalize PnL gain and leakage for tradable instruments.
  • Develop models for market making taking into consideration fundamental and quantitative features, and historic behavior using statistics, machine learning or heuristics.
  • Work with the business on risk recycle, alpha capture, and devise hedging strategies accordingly.
  • Collaborate broadly with QR teams across regions to build reusable research libraries and tools to back testing and alpha attributions.
Required Qualifications, Capabilities, And Skills
  • You have a strong quantitative background, as well as practical problem-solving skills.
  • You have direct working knowledge of signal research with market data and other financial data, alpha capture, risk warehousing, preferable in equities.
  • You like working closely with trading desks, understanding their business, and have a strong mind-set of ownership to have an impact on the way they operate.
  • You demonstrate proficiency in code design and programming skills, with primary focus on Python, KDB, C++ or Java in a commercial environment.
  • You have practical data analytics skills on real data sets gained through hands-on experience, and can handle and analyze complex, large scale, high-dimensionality data from various sources.
  • You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs.
  • You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things.
  • Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders.
Preferred Qualifications, Capabilities, And Skills
  • Strong graduate degree (MS or PhD) in a quantitative field (Computer Science, Financial Engineering, Mathematics, Physics, Statistics, Economics, …).
  • Strong expertise in statistics and machine learning in financial industry.
  • Robust testing and verification practice.
  • Direct Experience with electronic trading, and knowledge of trading algorithms.
  • 3 to 5 years’ experience in finance: market making, electronic trading, trading strategies (high to low frequency: market making, statistical arbitrage, option trading…), or derivatives pricing and risk management.
  • Knowledge of equity and volatility products is a plus, but not strict requirement.
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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Finance and Sales

New York City Metropolitan Area 2 weeks ago

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