Private Equity Specialist

StreetID; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

A financial services firm in New York City is seeking a data scientist to use SQL, R, and data visualization to inform investment decisions. The role is generalist in nature, requiring technical expertise and strong communication skills to collaborate with investment professionals. The ideal candidate can manage multiple priorities while contributing to key projects involving real-time economic tracking.

Qualifications

• The ideal candidate is very technical and a strong communicator.
• Eager to take on responsibility quickly and manage multiple priorities.

Responsibilities

• Use SQL, R, and data visualization to inform investment decisions.
• Work across sectors, company stages, and datasets.

Skills

Proficient programming abilities, particularly with dataframe-based libraries

Analysis and interpretation of data

Strong communication skills

Ability to manage multiple workstreams

Tools

SQL

R

data visualization tools

Job description

Building on our heritage of public markets investing, lifecycle investment platform has expanded across venture, growth, thematic, and structured capital strategies over the last decade. Our singular obsession with technology drives how we work as a firm. At every stage, we champion the insights, connections, and experience that create world‑shaping companies.

Data Science Team

The data science team works directly with the investment professionals on a daily basis and is integral in all current and future investments across the firm. Our goal is to track every component of the economy in real‑time.

Key projects include:

• Forecasting entries on a company’s income statement via real-time alternative datasets
• Tracking the launch of a new product and its impact on the company versus its competitors
• Analyzing and decomposing stock market performance of various securities in different scenarios
• Quantitatively screening for emerging venture‑backed companies
• Building shared tooling to improve the team’s day‑to‑day workflow

Job Description

The data scientist role uses SQL, R, and data visualization to inform investment decisions. This role is based in our New York City office.

This is a generalist role that works across sectors, company stages, and datasets. The ideal candidate is simultaneously very technical and a strong communicator, eager to take on responsibility quickly, and can juggle multiple priorities.

Key skills include:

• Proficient programming abilities, particularly with a dataframe‑based library (data.table, dplyr, pandas)
• Analysis and interpretation of data
• Strong communication skills, needed to translate between technical projects and business stakeholders
• Ability to manage multiple workstreams simultaneously

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Finance

Industries

• Investment Management, Banking, and Financial Services