PM Engagement Analyst

Verition; Miami (FL); On-site; USD 125,000 - 175,000; Full time

Job summary

Verition Fund Management LLC seeks a motivated PM Engagement Analyst to support the senior PM Engagement team within our Long/Short Equity business. You will apply data, factor analytics, and internal tools to improve research workflows and investment decision‑making.

The role requires Python and SQL skills, comfort with large data sets, and the ability to partner with front‑office professionals in a fast‑paced hedge fund environment.

Qualifications

• 2–4 years of experience in financial services.
• Proficiency in Python and SQL.
• Experience with large datasets.
• Understanding of Long/Short Equity investing.
• Familiarity with factor models and portfolio analytics.
• Excellent written and verbal communication skills.
• Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
• Exposure to visualization and analytics tools (Plotly, Streamlit, Dash).
• Interest in AI-driven research workflows and modern data tooling.

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.

Skills

Python

SQL

Data analysis

Communication

Teamwork

Tools

Barra

Axioma

FactSet

Bloomberg

Plotly

Streamlit

Dash

Job description

Firm Overview

Verition Fund Management LLC (\u201CVerition\u201D) 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.

Firm Overview

Verition Fund Management LLC (\u201CVerition\u201D) 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.