Data Sourcing Associate - Quant

Verition; New York (NY); On-site; USD 100,000 - 170,000; Full time

Job summary

Verition Fund Management LLC is seeking a Data Sourcing Analyst to partner with investment, research, and technology teams to source traditional and alternative datasets, manage vendor relationships, and onboard data into the firm’s workflows.

The role requires 3–7 years in data sourcing or vendor management, strong organizational skills, and comfort with SQL, Python, and JIRA. Located in New York, the position offers a base salary with a discretionary bonus and comprehensive benefits.

Qualifications

• Bachelor’s degree in a related field.
• 3–7 years of experience in data sourcing, market data, or vendor management, preferably supporting quantitative trading or research teams.
• Extreme organization and attention to detail and comfortable managing multiple stakeholders and priorities
• Hedge Fund or Buy Side Experience Preferred
• Strong understanding of quantitative markets.
• Experience sourcing and managing alternative datasets is highly desirable.
• Familiarity with data governance, licensing models, and vendor contracts.
• Strong communication skills with the ability to interact effectively with portfolio managers, quants, and technologists.
• Preferred skills: Experience working with data inventory or usage-tracking tools (e.g., FITS or similar platforms).
• Comfort working with JIRA, SQL, Python, or data analysis tools to support usage analysis.

Responsibilities

• Manage all requests from quantitative investment personnel; identify, evaluate, and source required.
• Maintain highly detailed notes and lists of requests, interests, and current status of data usage in the quantitative vertical.
• Proactively monitor the external data landscape to identify emerging vendors and new data sources with potential investment value.
• Partner with PMs and researchers to understand use cases and translate investment needs into data sourcing requirements.
• Manage vendor relationships, including pricing discussions, contract negotiations, renewals, and audits.
• Coordinate with Legal, Compliance, and Procurement to ensure appropriate licensing, usage rights, and regulatory compliance.
• Support cost allocation, usage tracking, and budget management across quantitative teams.
• Oversee the end-to-end data onboarding process, working with Technology and Data Engineering teams to integrate new datasets.
• Ensure data quality, documentation, and metadata standards are met.
• Serve as a key point of contact between data vendors and internal stakeholders.

Skills

Data sourcing

Vendor management

Quantitative markets

JIRA

SQL

Python

Education

Bachelor’s degree in a related field

Tools

JIRA

SQL

Python

Job 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 Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

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 Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

Role Overview

The Data Sourcing team partners closely with investment, research, and technology groups to identify, evaluate, and onboard high-impact datasets that support alpha generation and risk management. The team is responsible for the full lifecycle of data sourcing, from request management to commercial discussion, and then onboarding, governance, and ongoing usage analysis.

We are seeking a Data Sourcing Analyst with a strong understanding of Quantitative data to support data acquisition across the quantitative business at the firm. This role will work closely with portfolio managers, researchers, and quantitative teams to source both traditional and alternative datasets, manage vendor relationships, and ensure data is effectively integrated into the firm’s research and trading workflows.

• Manage all requests from quantitative investment personnel; identify, evaluate, and source required.
• Maintain highly detailed notes and lists of requests, interests, and current status of data usage in the quantitative vertical.
• Proactively monitor the external data landscape to identify emerging vendors and new data sources with potential investment value.
• Partner with PMs and researchers to understand use cases and translate investment needs into data sourcing requirements.
• Manage vendor relationships, including pricing discussions, contract negotiations, renewals, and audits.
• Coordinate with Legal, Compliance, and Procurement to ensure appropriate licensing, usage rights, and regulatory compliance.
• Support cost allocation, usage tracking, and budget management across quantitative teams.
• Oversee the end-to-end data onboarding process, working with Technology and Data Engineering teams to integrate new datasets.
• Ensure data quality, documentation, and metadata standards are met.
• Serve as a key point of contact between data vendors and internal stakeholders.

Qualifications

• Bachelor’s degree in a related field.
• 3–7 years of experience in data sourcing, market data, or vendor management, preferably supporting quantitative trading or research teams.
• Extreme organization and attention to detail and comfortable managing multiple stakeholders and priorities
• Hedge Fund or Buy Side Experience Preferred
• Strong understanding of quantitative markets.
• Experience sourcing and managing alternative datasets is highly desirable.
• Familiarity with data governance, licensing models, and vendor contracts.
• Strong communication skills with the ability to interact effectively with portfolio managers, quants, and technologists.
• Preferred skills:
• Experience working with data inventory or usage-tracking tools (e.g., FITS or similar platforms).
• Comfort working with JIRA, SQL, Python, or data analysis tools to support usage analysis.

The annual base salary range for this position is $100,000 to $170,000 (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.