Software Engineer | Post Trade Analytics
Jump Trading · On-site
MeritLog read this listing from Jump Trading's Greenhouse job board and last checked it on September 9, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Shanghai
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at Jump Trading
Jump Trading has 108 live roles in MeritLog’s catalog across 6 job families, and 44 of them are in data & analytics. 38 of those listings publish a pay range, a disclosure rate of 35%.
Jump Trading concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Partner directly with traders and quantitative researchers to turn complex questions into data products that shape how we trade across global markets.
- Build, operate, and scale the robust datasets and pipelines that power our post-trade analytics and research.
- Directly influence business priorities, trading strategies, and execution quality through high-impact data engineering.
- Guarantee trust in the numbers by building robust data validation frameworks, monitoring, alerting, data lineage, and executing rapid incident response.
- Drive performance by optimizing data processing and workflows for speed, cost, and resilience, while diagnosing and resolving the most complex pipeline and production issues.
- Develop and optimize the tools, documentation, and foundational infrastructure that empower the broader research and trading teams.
- Other duties as needed
What they're asking for
- 3+ years of experience as a Data Engineer or Software Engineer working extensively with large-scale data.Experience
- Proficiency in Python or C++ (Strong skills in at least one, with a willingness to work across both).Skill
- Proven expertise in building, operating, and scaling ETL/ELT pipelines, including orchestration, scheduling, and dependency management.Skill
- Strong command of SQL and the broader data analytics ecosystem, including familiarity with libraries such as Pandas and NumPy.Skill
- Sharp analytical and problem-solving abilities, paired with a strong curiosity to understand the financial business logic behind the data.Skill
- Comfort and proficiency working within Linux environments.Skill
- Reliable and predictable availabilitySkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. As a Data Engineer on the PTA team, you will own the critical datasets and pipelines upon which our trading decisions are built, all while developing in-depth technical and financial business expertise. What You'll Do: • Partner directly with traders and quantitative researchers to turn complex questions into data products that shape how we trade across global markets. • Build, operate, and scale the robust datasets and pipelines that power our post-trade analytics and research. • Directly influence business priorities, trading strategies, and execution quality through high-impact data engineering. • Guarantee trust in the numbers by building robust data validation frameworks, monitoring, alerting, data lineage, and executing rapid incident response. • Drive performance by optimizing data processing and workflows for speed, cost, and resilience, while diagnosing and resolving the most complex pipeline and production issues. • Develop and optimize the tools, documentation, and foundational infrastructure that empower the broader research and trading teams. • Other duties as needed Skills You’ll Need: • 3+ years of experience as a Data Engineer or Software Engineer working extensively with large-scale data. • Proficiency in Python or C++ (Strong skills in at least one, with a willingness to work across both). • Proven expertise in building, operating, and scaling ETL/ELT pipelines, including orchestration, scheduling, and dependency management. • Strong command of SQL and the broader data analytics ecosystem, including familiarity with libraries such as Pandas and NumPy. • Sharp analytical and problem-solving abilities, paired with a strong curiosity to understand the financial business logic behind the data. • Comfort and proficiency working within Linux environments. • Reliable and predictable availability
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