PM Engagement Analyst
Verition Group LLC
£125,000 - £175,000 / year
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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 Fixed Income & Macro, Event & Multi-Asset RV, Equity L/S & Capital Markets, and Quantitative Trading.
Role Overview
We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within our Long/Short Equity business at a leading multi-strategy hedge fund. This role sits at the intersection of investing, data, analytics, and technology, helping teams leverage data, factor analytics, and internal tools to improve research workflows and investment decision-making. The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with front-office investment professionals in a fast-paced environment.
Responsibilities
- Partner directly with senior members of the L/S engagement team to support data-driven workflows analyzing L/S PM performance and trading behavior.
- Support engagement team on ad hoc analysis, portfolio diagnostics, and research tooling.
- Work with factor models and portfolio analytics frameworks to help investment teams better understand exposures, risk, and performance drivers.
- Analyze portfolio positioning, style exposures, and alpha signals across L/S Equity strategies.
- Support workflows related to risk decomposition, factor attribution, and portfolio construction.
- Use Python and SQL to analyze large datasets, automate workflows, and build lightweight analytical tools.
- Help improve internal data workflows and reporting processes for investment teams.
- Work closely with data teams and quant researchers, to identify gaps in workflows and improve the investment process.
- Contribute to the rollout and adoption of internal analytics and research tools.
Qualifications
- 2–4 years of experience within financial services, ideally supporting investment teams, research workflows, data analysis, or portfolio analytics.
- Foundational proficiency in Python and SQL
- Comfortable working with large datasets and performing data analysis
- Understanding of fundamental Long/Short Equity investing
- Familiarity with factor models, portfolio analytics, and risk concepts
- Strong judgment and intellectual curiosity
- Ability to not just produce analysis but also present it in a clear and engaging manner
- Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
- Exposure to alternative data workflows and equity research processes.
- Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash).
- Interest in AI-driven research workflows and modern data tooling.
- 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 $125,000 to $175,000 (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.
Benefits
- stock options
- bonus
About this role
Verition is looking for a PM Engagement Analyst to join its Long/Short Equity team in London, working directly with portfolio managers and senior engagement staff to strengthen their investment processes through data and analytics. You'd sit between the investment professionals and the data infrastructure, using Python and SQL to analyze portfolio performance, factor exposures, and trading behavior while helping teams adopt new analytical tools and workflows. The work spans portfolio diagnostics, risk decomposition, factor attribution, and building lightweight tools that make research more efficient.
The ideal candidate has two to four years in financial services—ideally in roles supporting investment teams, research, or portfolio analytics—with solid technical grounding in Python and SQL. You should understand Long/Short Equity fundamentals, factor models, and risk concepts, and ideally have hands-on experience with platforms like Barra, Axioma, or FactSet. Beyond the technical skills, the role values clear communication, intellectual curiosity, and the ability to translate analysis into actionable insights for front-office teams. This is a full-time, in-office position in London with a base salary of $125,000 to $175,000 USD, plus discretionary bonus and benefits.
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Pay for this role
$125,000 to $175,000 per year
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