Overview
On Site
Full Time
Skills
C++
OTC derivatives
Cost-benefit analysis
Computational Science
Computational finance
A+
Investment management
Programming languages
C#
F#
Quantitative Analysis
Research
Trading
Design
Testing
Management
Data
Automation
Collaboration
Visualization
Mathematics
Statistics
Algorithms
Derivatives
Modeling
Software development
Python
Communication
Job Details
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.