Quant Dev/Analyst-hedge fund
- Employer
- DTG Capital Markets
- Location
- New York, USA
- Salary
- $175k - $250k
- Closing date
- Sep 15, 2023
View more
- Job Function
- Hedge Funds
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Will partner with the Research and Trading teams and senior partner to build fund's trading and execution capabilities for systematic/quantitative investment strategies in futures, ETFs, and OTC Derivatives.
• Design, develop, test, and deploy models and perform analysis related to market liquidity, trading costs, and market timing.
• Build components to optimize performance and create enhancements for the research pipeline from development and testing to execution and management.
• Source, collect and analyze data to help improve the investment process.
• Create automation and collaborate with engineering team on visualization tools, including those for transaction cost analysis and related.
Requirements•
• BS/MS in computational science, Mathematics, Statistics, CS, or related field. MS in Financial Engineering or Computational Finance is a plus.
• 5+ years of investment management industry experience with at least 3 years of practical experience developing trading and/or execution algorithms, and particularly trading strategies implementation.
• Strong knowledge/experience with derivatives (futures, options) based strategies/modeling
• Hands-on in programming, proficiency with one or more programming languages, either
Python, C++, C#/F# or similar.
Strong communication skills in a collaborative and technical working environment.
Please contact us for more details and highly confidential discussion/consideration.
• Design, develop, test, and deploy models and perform analysis related to market liquidity, trading costs, and market timing.
• Build components to optimize performance and create enhancements for the research pipeline from development and testing to execution and management.
• Source, collect and analyze data to help improve the investment process.
• Create automation and collaborate with engineering team on visualization tools, including those for transaction cost analysis and related.
Requirements•
• BS/MS in computational science, Mathematics, Statistics, CS, or related field. MS in Financial Engineering or Computational Finance is a plus.
• 5+ years of investment management industry experience with at least 3 years of practical experience developing trading and/or execution algorithms, and particularly trading strategies implementation.
• Strong knowledge/experience with derivatives (futures, options) based strategies/modeling
• Hands-on in programming, proficiency with one or more programming languages, either
Python, C++, C#/F# or similar.
Strong communication skills in a collaborative and technical working environment.
Please contact us for more details and highly confidential discussion/consideration.
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