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
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead Customer Success enablement in EEMEA by building go-to-market readiness, launch management, playbooks, workflows, Gainsight dashboards, KPIs, and cross-functional product feedback loops to drive adoption, value realization, and scale.
Top Skills:
AIGainsightSalesforce
Cloud • Security • Software • Cybersecurity • Automation
Serve as a trusted technical advisor for MEA customers, leading technical discovery, POCs/POVs, solution design, and workshops to drive GitLab adoption. Collaborate with sales and product teams to shape account strategies, advise on DevSecOps, CI/CD, cloud and security practices, and surface customer feedback to influence product roadmap.
Top Skills:
AICi/CdCloud ComputingCollaboration PlatformsDevsecopsGitlabSource Control
Big Data • Cloud • Software • Database
As a Senior Solutions Architect, you will guide customers in building scalable systems using MongoDB, leveraging technical expertise to drive sales and customer success.
Top Skills:
C#C/C++JavaMongoDBNode.jsPythonSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


