Verition Fund Management

2 years ago

Quantitative Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 28 minutes agoStatus: Live

Job Summary

Quantitative Developer in the Quant Strategies Group designing and building Python-based tools for analysis, research, trading and risk management. You will maintain data pipelines, collaborate with cross-functional teams, apply machine learning to trading, and stay current with market trends to refine strategies, contributing across data ingestion, high-performance processing, live execution and post-trade analysis.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key Responsibilities

•Design and develop Python tools for analysis, research, trading and risk management
•Ensure data management pipeline integrity and diagnose data issues
•Provide maintenance, support, and enhancements for existing systems and platforms
•Communicate regularly with team managers
•Collaborate cross-functionally with internal tech/data teams, researchers, traders and external vendors

Pay and Benefits

Salary: USD 100,000 - 200,000 annually

Key Requirements

•1-3 years Python experience with libraries for data analysis and machine learning
•Strong background in data structures, algorithms and object-oriented programming
•Bachelor's degree in Computer Science or other STEM field
•Experience with AWS or cloud technologies is a plus
•Excellent analytical and problem-solving mindset with strong communication skills

Experience:1-3 yearsFinanceHedge fundQuant tradingQuantitative

Education:Bachelor's in Computer Science

Skills:CommunicationProblem-solvingTeamworkAnalytical thinkingAttention to detail

Languages:English

Tech Stack:PythonAWSC++JavaMachine learningAIData pipelinesPandasScikit-learn

Company Brief

Verition Fund Management

Verition Fund Management is a New York–based alternative investment manager and hedge fund offering multi-strategy and quantitative investment solutions across equities, fixed income, and derivatives for institutional and high-net-worth clients.

Industry: Hedge Funds

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: New York, United States

Founded: 2008

Website LinkedIn

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Verition Fund Management

2 years ago

Quantitative Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 28 minutes agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Key Responsibilities

•Design and develop Python tools for analysis, research, trading and risk management
•Ensure data management pipeline integrity and diagnose data issues
•Provide maintenance, support, and enhancements for existing systems and platforms
•Communicate regularly with team managers
•Collaborate cross-functionally with internal tech/data teams, researchers, traders and external vendors

Pay and Benefits

Salary: USD 100,000 - 200,000 annually

Key Requirements

•1-3 years Python experience with libraries for data analysis and machine learning
•Strong background in data structures, algorithms and object-oriented programming
•Bachelor's degree in Computer Science or other STEM field
•Experience with AWS or cloud technologies is a plus
•Excellent analytical and problem-solving mindset with strong communication skills

Experience:1-3 yearsFinanceHedge fundQuant tradingQuantitative

Education:Bachelor's in Computer Science

Skills:CommunicationProblem-solvingTeamworkAnalytical thinkingAttention to detail

Languages:English

Tech Stack:PythonAWSC++JavaMachine learningAIData pipelinesPandasScikit-learn

Company Brief

Verition Fund Management

Industry: Hedge Funds

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: New York, United States

Founded: 2008

Website LinkedIn