The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008 with 8.7B in AUM. This role would be specifically in the Quant Strategies Group.
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
Top Skills
AWS
C++
Java
Machine Learning
Python
Similar Jobs
Financial Services
The Quantitative Developer will build live trading components, enhance portfolio construction methodologies, maintain platform stability, and troubleshoot system issues.
Top Skills:
KdbPython
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Own customer onboarding, drive Falcon Flex adoption and consumption, deliver ROI/value analyses and Executive Business Reviews, minimize churn, and partner with sales to grow Falcon Flex usage across large enterprise accounts.
Top Skills:
Ai-Native PlatformCrowdstrike FalconCrowdstrike Falcon FlexCrowdstrike Platform
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves selling enterprise security software solutions, driving revenue from new customers, and ensuring successful onboarding and customer relationships.
Top Skills:
Crm SoftwareSecurity Software Solutions
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

