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Verition Fund Management

Global multi-strategy hedge fund managing capital

Quantitative Developer

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-time$100k - $200kIn-person

About the Job

Requirements

  • At least 1–3 years of experience in Python programming, ideally including libraries relevant to data analysis and machine learning.
  • A strong background in data structures, algorithms, and object-oriented programming.
  • A degree in Computer Science or another STEM program is ideal.
  • Experience with AWS or other cloud technology is a plus.
  • Knowledge of additional object-oriented programming languages such as C++ or Java is a plus.
  • Familiarity with machine learning and AI applications in trading is a plus.

Responsibilities

  • Design and develop tools in Python for analysis, research, trading, and risk management.
  • Ensure the integrity of the data management pipeline and underlying data, and identify, diagnose, and remedy data issues.
  • Maintain, support, and enhance existing systems and platforms.
  • Communicate regularly with team managers.
  • Collaborate with internal technology and data teams, researchers, traders, and outside vendors.
  • Safeguard team information and adhere to business sensitivity.
  • Monitor market trends and academic research to adapt and refine trading strategies.
  • Implement machine learning and other advanced techniques to enhance predictive accuracy.

Desired Qualifications

  • Ideally, have a degree in Computer Science or another STEM program.
  • Experience with AWS or other cloud technology is a plus.
  • Knowledge of additional object-oriented programming languages such as C++ or Java is a plus.
  • Familiarity with machine learning and AI applications in trading is a plus.

About the Company

Verition Fund Management

Global multi-strategy hedge fund managing capital

Verition Fund Management runs a global hedge fund platform that pools capital from institutional investors and high-net-worth clients to invest across multiple strategies in pursuit of absolute returns. It dynamically allocates capital among strategies including Credit, Fixed Income Macro, Convertible Volatility Arbitrage, Event Driven, Equity Long/Short, Capital Markets, and Quantitative Strategies. The firm uses internal and external risk analysis to maintain disciplined risk controls across its investments. Its approach relies on a broad multi-manager lineup and collaborative culture to deliver risk-managed, steady performance across changing markets.

Company size
51-200
Company stage
Not listed
Total funding
$1.4B
Headquarters
Greenwich, CT
Founded
2008

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