Description
Firm Overview
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.
Role Overview
We are seeking a Quant Analyst for our Fundamental Long/Short Equity business, reporting directly to the Equity L/S COO. This is a high-impact, high-growth role at the center of how the Equity L/S platform makes decisions. You will work on both sides of the business: quantitative analysis of investment performance and portfolio construction, and quantitative analysis applied to the strategic and operational questions that shape how the platform grows and improves.
A core strength of the role is turning open-ended questions into clear answers. You will translate priorities from senior management and the investment teams into focused research that isolates the key drivers and points to actionable recommendations. The work spans the business, portfolio manager, and research levels, with findings presented directly to senior stakeholders.
The individual in this role will work closely with teams across the platform. It is well suited to someone with a strong quantitative foundation who also likes to build: hands-on, technically strong, quick to learn, and energized by working close to a fast-moving investment business.
Responsibilities
- Build analyses, models, and tools that inform investment and business decisions across the platform.
- Analyze investment performance and portfolio properties, including process drivers of P&L and factor-model-based risk and P&L attribution.
- Execute on research ideas that improve investment and business outcomes.
- Evaluate processes and proposed changes, implement improvements, and quantify their impact.
- Support and enhance investment-process workflows, tools, and systems.
- Apply statistical methods to investment and business problems to quantify effects, test significance, and translate results into recommendations for stakeholders.
- Apply AI tools to accelerate research and analysis, and contribute to advancing AI-driven applications across the platform.
- Present analysis and recommendations clearly to senior stakeholders.
- Partner with portfolio managers, operations, trading, technology, data, and research teams.
Qualifications
- 3-5 years of experience at a buy-side or sell-side firm.
- Master's in a quantitative discipline (mathematics, engineering, quantitative finance, or a hard science), or an undergraduate degree paired with strongly aligned experience.
- Strong foundation in statistics and regression modeling, including linear models and hypothesis testing.
- Proficiency in Python for quantitative research and analysis, evidenced by project or research accomplishments, with the ability to build the data workflows and analytical tools the work requires.
- Working proficiency in SQL, PostgreSQL, and APIs for accessing and managing data.
- Experience with equity fundamental factor models, attribution, and risk measurement is strongly preferred.
- Strong communication and presentation skills, including the ability to make quantitative work actionable for senior audiences.
- Demonstrated interest in applying AI to research and analytical problems; hands-on experience with coding assistants such as Claude Code or comparable tools is a meaningful advantage.
- A strong sense of ownership and urgency, with the grit to dig into problems and see solutions through.
- A can-do approach, intellectual curiosity, adaptability, and a genuine passion for equity markets and investing.
- Excellent written and verbal communication skills.
- High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
- Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.
The annual base salary range for this position is $150,000 to $200,000 (USD). In addition to base salary, this position is eligible for a discretionary performance bonus and a comprehensive benefits package. Actual compensation offered to the successful candidate will be determined based on a variety of factors such as geographic location, work experience, qualifications, and skill level.
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