Data & AnalyticsOn-site

Quantamental Research Analyst | Trading Team

Jump Trading · On-site

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Last seen by MeritLog September 12, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Jump Trading's Greenhouse job board and last checked it on September 12, 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: Singapore

Hiring context

How this role compares at Jump Trading

Jump Trading has 106 live roles in MeritLog’s catalog across 5 job families, and 44 of them are in data & analytics. 36 of those listings publish a pay range, a disclosure rate of 34%.

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

Collaborate with quantitative traders globally in performing in depth research on ETF pricing and trading strategy
Analyze the fundamental implications of corporate actions and special situations; determine fair value and generate trade ideas
Improve dividend predictions and analyze their impact on equity indices and futures.
Work with equity quants to study internal and external datasets, understand their relationships with asset prices, and develop prediction models or actionable use cases
Work with quantitative developers to productionize, automate, and scale research and trading processes
Be on top of macroeconomic events and market news in identifying the potential trading opportunities that is hard to capture through our automated strategies
Other duties as assigned or needed

What they're asking for

Bachelor’s in Finance, Economics, Mathematics, or a related quantitative fieldEducation
3–6 years in buy/sell-side research, prop trading, ETF/index research, or corporate actions analysisExperience
High attention to details and apply to identify information that market might have missedSkill
Have the quantitative mindset to develop a systematic approach to address problemsSkill
Good understanding of company fundamentals and financial ratiosSkill
Comfortable to deal with large datasets using PythonSkill
Desire to work within a collaborative, team-driven, fast-paced environmentSkill

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 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 incentivizing 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. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are looking for a Quantamental Research Analyst with a passion for financial markets and a solid understanding on company fundamentals, who possesses a quantitative mindset to join our team in Singapore. What You'll Do: • Collaborate with quantitative traders globally in performing in depth research on ETF pricing and trading strategy • Analyze the fundamental implications of corporate actions and special situations; determine fair value and generate trade ideas • Improve dividend predictions and analyze their impact on equity indices and futures. • Work with equity quants to study internal and external datasets, understand their relationships with asset prices, and develop prediction models or actionable use cases • Work with quantitative developers to productionize, automate, and scale research and trading processes • Be on top of macroeconomic events and market news in identifying the potential trading opportunities that is hard to capture through our automated strategies • Other duties as assigned or needed Skills You’ll Need: • Bachelor’s in Finance, Economics, Mathematics, or a related quantitative field • 3–6 years in buy/sell-side research, prop trading, ETF/index research, or corporate actions analysis • High attention to details and apply to identify information that market might have missed • Have the quantitative mindset to develop a systematic approach to address problems • Good understanding of company fundamentals and financial ratios • Comfortable to deal with large datasets using Python • Desire to work within a collaborative, team-driven, fast-paced environment

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