Join Cubist's central crypto team to build scalable research and trading infrastructure for crypto markets. You will work full-stack across alpha estimation, risk modeling, back-testing, simulation, and low-latency live trading systems. Responsibilities include building data pipelines, visualization and monitoring tools, and maintaining/troubleshooting production trading systems. This role suits candidates with a quantitative/software background, strong crypto/DeFi expertise, and 0–5 years of professional experience.
The central crypto team at Cubist is looking for an experienced quantitative software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our crypto business. The candidate should have a passion for technology and crypto. In this team, the candidate will gain full-stack exposure and build expertise across multiple aspects of crypto, quantitative research, and trading. The candidate will play an essential role in the team’s successful expansion.
Responsibilities
Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
Developing a seamless but modular platform to handle all aspects of quant trading
Building high-performance/low-latency modular systems for live trading and simulation
Developing robust data checking, transformation, and storage procedures
Building visualization tools and monitors for market/trade/position/risk
Maintenance and troubleshooting of trading systems
Requirements
Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline
0-5 years of professional software and/or quantitative engineering experience in a collaborative environment
Strong expertise in Crypto and DeFi
Strong analytical and quantitative skills
Experience developing back-testing, simulation, and trading systems
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team
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Role
\n
The central crypto team at Cubist is looking for an experienced quantitative software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our crypto business. The candidate should have a passion for technology and crypto. In this team, the candidate will gain full-stack exposure and build expertise across multiple aspects of crypto, quantitative research, and trading. The candidate will play an essential role in the team’s successful expansion.
Responsibilities
\n
Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
Developing a seamless but modular platform to handle all aspects of quant trading
Building high-performance/low-latency modular systems for live trading and simulation
Developing robust data checking, transformation, and storage procedures
Building visualization tools and monitors for market/trade/position/risk
Maintenance and troubleshooting of trading systems
Requirements
\n
Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline
0-5 years of professional software and/or quantitative engineering experience in a collaborative environment
Strong expertise in Crypto and DeFi
Strong analytical and quantitative skills
Experience developing back-testing, simulation, and trading systems
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team
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Join Cubist's central crypto team to build scalable research and trading infrastructure for crypto markets. You will work full-stack across alpha estimation, risk modeling, back-testing, simulation, and low-latency live trading systems. Responsibilities include building data pipelines, visualization and monitoring tools, and maintaining/troubleshooting production trading systems. This role suits candidates with a quantitative/software background, strong crypto/DeFi expertise, and 0–5 years of professional experience.
The central crypto team at Cubist is looking for an experienced quantitative software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our crypto business. The candidate should have a passion for technology and crypto. In this team, the candidate will gain full-stack exposure and build expertise across multiple aspects of crypto, quantitative research, and trading. The candidate will play an essential role in the team’s successful expansion.
Responsibilities
Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
Developing a seamless but modular platform to handle all aspects of quant trading
Building high-performance/low-latency modular systems for live trading and simulation
Developing robust data checking, transformation, and storage procedures
Building visualization tools and monitors for market/trade/position/risk
Maintenance and troubleshooting of trading systems
Requirements
Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline
0-5 years of professional software and/or quantitative engineering experience in a collaborative environment
Strong expertise in Crypto and DeFi
Strong analytical and quantitative skills
Experience developing back-testing, simulation, and trading systems
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team
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Role
\n
The central crypto team at Cubist is looking for an experienced quantitative software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our crypto business. The candidate should have a passion for technology and crypto. In this team, the candidate will gain full-stack exposure and build expertise across multiple aspects of crypto, quantitative research, and trading. The candidate will play an essential role in the team’s successful expansion.
Responsibilities
\n
Building a robust, scalable research infrastructure, including alpha estimation and risk modeling components
Developing a seamless but modular platform to handle all aspects of quant trading
Building high-performance/low-latency modular systems for live trading and simulation
Developing robust data checking, transformation, and storage procedures
Building visualization tools and monitors for market/trade/position/risk
Maintenance and troubleshooting of trading systems
Requirements
\n
Undergraduate or higher degree in Computer Science, Mathematics, or other quantitative discipline
0-5 years of professional software and/or quantitative engineering experience in a collaborative environment
Strong expertise in Crypto and DeFi
Strong analytical and quantitative skills
Experience developing back-testing, simulation, and trading systems
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team
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