Data Scientist | Post Trade Analytics

Reposted 8 Days Ago
Be an Early Applicant
Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Financial Services
The Role
As a Data Scientist in Post Trade Analytics, you'll analyze data to enhance trading performance, develop algorithms, and collaborate with trading teams.
Summary Generated by Built In

Jump Trading Group is committed to world-class research. We empower exceptional talent in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by fostering collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve complex problems.
Jump Trading's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We measure, analyze, and optimize every dimension of our trading activity across all global markets. Our team builds the foundational analyses that traders and quantitative researchers rely on daily to make critical decisions. Operating across highly diverse datasets, our core infrastructure collects, organizes, and stores billions of data points every day, powering the analytics behind a wide array of trading strategies.

The primary role of the PTA team Data Scientist is to undertake cutting edge analysis on this data to uncover competitive edges. The role offers the opportunity to develop both business and technical expertise, while significantly contributing to Jump's business through the mining and enrichment of data.

What You'll Do:

  • Identify relationships between business metrics and changes on the infrastructure technology
  • Partner with trading teams to perform post trade statistical analysis on trading performance
  • Conduct research for the purpose of modeling exchange performance
  • Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
  • Design innovative anomaly detection algorithms to detect performance degradation
  • Develop and improve quantitative research frameworks using Python, C++, and other software systems
  • Other duties as assigned or needed

Skills You’ll Need:

  • The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious, self-driven, keen to dive into the complex world of HFT, and has demonstrated an ability to independently drive tasks and projects to completion in a team environment
  • At least 3+ years of programming experience in Python with a data science and analytics focus
  • Strong data intuition combined with a healthy skepticism for easy conclusions
  • Excellent problem solving abilities
  • Experience in documenting and communicating analysis to both technical and business audiences.
  • Background in statistics
  • Experience with C++ is a plus.
  • Experience with SQL is a plus.
  • Practical experience with Machine Learning technics is a plus.
  • Understanding of network protocols (IP, UDP, TCP, Ethernet) is a plus.
  • Reliable and predictable availability

Skills Required

  • 5+ years of programming experience in Python with a data science focus
  • Strong data intuition and problem-solving abilities
  • Experience with SQL
  • Practical experience with machine learning
  • Understanding of network protocols (IP, UDP, TCP, Ethernet)

Jump Trading Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jump Trading Group and has not been reviewed or approved by Jump Trading Group.

  • Career-Linked Recognition & Rewards Pay is considered very competitive for revenue‑adjacent and technical roles, with strong total packages when team performance is solid. Compensation structures align outcomes closely with impact, creating high satisfaction on strong desks.
  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision, with wellness programs and employer‑paid life/AD&D also highlighted. These offerings are portrayed as robust and compare favorably with similar employers.
  • Retirement Support A 401(k) with employer match is repeatedly noted, with mentions of a pension as well. Together these indicate strong retirement backing relative to many employers.

Jump Trading Group Insights

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The Company
HQ: Chicago, Illinois
1,488 Employees
Year Founded: 1999

What We Do

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

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