Quantitative Developer

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.

As a quant developer of one of our world class quant trading teams, you’ll have the opportunity to get exposed to all aspects of the business; data ingestion, high-performance processing, features and modelling, portfolio and risk management, live execution and post-trade analysis.

Responsibilities:

• Design and develop various tools in Python that will be crucial for analysis, research, trading, and risk management purposes

• Ensure integrity of data management pipeline and the underlying data itself, and actively identify, diagnose, and remedy data issues

• Provide ongoing maintenance, support, and enhancements for existing systems and platforms

• Communicate regularly with team managers

• Collaborate cross-functionally with internal tech and data teams, researchers, traders, and outside vendors

• Commitment to safeguarding team information and adhering to business sensitivity

• Stay abreast of market trends and academic research to continually adapt and refine trading strategies

• Implement machine learning and other advanced techniques to enhance predictive accuracy

Qualifications:

• At least 1-3 years 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

• Ideally a degree in Computer Science or some other STEM program

• Experience with AWS or other cloud technology is a plus

• Exceptional analytical abilities and a strong problem-solving mindset

• Excellent communication skills to effectively collaborate with traders and other team members

• Knowledge of additional OOP languages like C++ or Java is a plus

• Familiarity with machine learning and AI applications in trading is also a plus

Salary Range
$100,000 — $200,000 USD