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CIB QR - Quantitative Research - e-Trading - VP/ED

Job Description

J.P. Morgan has been doing first-class business in a first-class way for more than two hundred years. We have been a leading player in helping companies grow and markets develop throughout our history. We work in collaboration across the globe to deliver the best solutions and advice to meet our clients' needs, anywhere in the world. We operate in 150 countries, and hold global leadership positions across our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients and the firm every day. This is why we are the most respected financial institution in the world - and why we can offer you an outstanding career. Further information about J.P. Morgan is available at

About the Role:

Quantitative skills are at the core of J.P. Morgan’s capabilities, contributing critically to the competitiveness and innovating power of our firm. The team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote advanced electronic trading solutions to our clients worldwide.

We are seeking individuals passionate in areas such as machine learning, reinforcement learning, deep learning, computational statistics, and applied mathematics with a keen interest to apply these techniques to the financial field and have a transformational impact to the business.

On top of electronic trading, we also work closely with trading desks to develop statistical arbitrage strategies and provide data-driven solutions to their business processes such as recommendation engines, flow categorization and clustering, and inventory optimization.

Roles and responsibilities include the following:

  • Developing mathematical models for equities electronic trading algorithms using methodologies such as Reinforcement Learning, neural networks, time-series forecasting, clustering methods, dimensionality reduction methods (PCA, Kernel methods, …).
  • Designing and developing analytics for consumption in our trading engine or for optimization of our business processes.
  • Supporting trading activities by explaining model and algorithm behavior, carrying out scenario analyses, developing and delivering quantitative tools, and supporting analytics including transaction cost analysis
  • Engaging in direct client interaction to promote and market our algorithms


The ideal candidate will have:

  • Earned a MS, PhD or equivalent degree program in computer science, machine learning, math, statistics, econometrics, physics, chemistry, operations research, financial engineering.
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
  • 8+ years experience designing and developing electronic trading models and supervising their end-to-end integration.
  • Strong software design and development skills using Python and Java (or C++).
  • Exceptional analytical, quantitative and problem-solving skills, as well as the ability to communicate complex research in a clear and precise manner.
  • Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
  • Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics)
  • Experience writing trading algorithms from a quantitative perspective, and some exposure to volume, volatility prediction modeling, market impact modeling, portfolio and single stock optimization is a plus.

Req #: 180034856
Location: New York, NY US
Job Category: Quantitative Research
Employment Type: Full Time
Potential Referral Amount: 5000 US Dollar (USD)

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