QCP

Institutional digital asset markets

Execution Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field is required.
Ability to understand and reason about complex distributed trading systems.
Strong analytical and quantitative mindset.
Ability to adapt in a fast-paced, collaborative, results-oriented environment and thrive under time-sensitive, high-pressure situations.
Self-starter who demonstrates proactivity, sets ambitious goals, is willing to drive and own projects, and proactively identifies opportunities for impact.

Responsibilities

Operate automated, latency-sensitive trading systems.
Conduct quantitative research into strategy performance, back-test hypotheses, and refine strategies.
Adjust system parameters dynamically based on market conditions.
Manually trade to reduce risk exposure when necessary.
Identify opportunities for automation and propose improvements to trading systems and operational workflows.
Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes.
Communicate relevant market news, events, and system behavior to team members in a timely manner.
Generate feedback on trading system performance through analysis of system logs, executions, and market data.

Desired Qualifications

Experience operating on Polymarket, Kalshi, or equivalent platforms at meaningful scale.
Background in systematic commodity, macro, or multi-asset trading, which is a core competency and an area of cross-pollination with prediction markets.
Familiarity with the analytics and data ecosystems around professional sports and major real-world event categories, including politics, macroeconomics, and climate.
Experience with blockchain and decentralized finance infrastructure relevant to on-chain prediction market platforms.

Execution Trader

QCP · Singapore, Singapore · Full-time · Posted 2026-10-12

Workplace: on_site

Department: Research & Development

Description

Primrose Capital Management is a global quantitative digital assets fund manager revolutionizing how digital capital is managed. Backed by decades of experience at renowned quantitative hedge funds and as pioneers in digital asset derivatives, we leverage cutting-edge technology and data-driven insights to deliver sustainable value to our clients.

In Primrose, everyone is encouraged to challenge the boundaries of conventional thinking. Our goal is to hire the best and brightest individuals who think creatively and embody a commitment to continuous improvement. If that is you, then come along and shape the future of the digital assets space with us!

Responsibilities

Operate automated, latency-sensitive trading systems
Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies
Adjust system parameters dynamically based on market conditions
Manually trade to reduce risk exposure when necessary
Identify opportunities for automation and propose improvements to trading systems and operational workflows
Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes
Communicate relevant market news, events, and system behaviour to team members in a timely manner
Generate feedback on trading system performance through analysis of system logs, executions, and market data

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field
Ability to understand and reason about complex distributed trading systems
Strong analytical and quantitative mindset
Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations
Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact

Nice to Have

Experience operating on Polymarket, Kalshi, or equivalent platforms at meaningful scale
Background in systematic commodity, macro, or multi-asset trading — our core competency and an area of genuine cross-pollination with prediction markets
Familiarity with the analytics and data ecosystems around professional sports and major real-world event categories (politics, macroeconomics, climate)
Experience with blockchain/DeFi infrastructure relevant to on-chain prediction market platforms

Apply

Apply at QCP

About the Company

QCP

Institutional digital asset markets

QCP is a institutional digital asset trading company. It provides over-the-counter trading, liquidity, derivatives, market access, and technology-supported execution for digital assets. The firm works with institutional and professional counterparties that need structured access to crypto markets and risk-management tools. Its operations connect traders and quantitative teams with engineering, risk, compliance, operations, finance, sales, and counterparty services. Work spans trading, quantitative research, software engineering, risk, compliance, operations, finance, and institutional sales.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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