Senior Associate, Data Sourcing & Strategy - Equities

Balyasny Asset Management L.P.; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Balyasny Asset Management L.P. seeks a Senior Associate to lead data sourcing and content leadership for its Fundamental Equity teams.

The role partners with Investment teams to onboard high-quality datasets, coordinate with Legal, Compliance, and Data Science, and drive a proactive data strategy. You will serve as the primary data liaison, maintaining vendor relationships and ensuring regulatory compliance while turning data insights into investment context.

Qualifications

• 4+ years of alt data experience in a vendor or financial services firm.
• Broad exposure to alternative market data sets and usage in investment research.
• Experience with regulatory requirements for diverse data sources.
• Experience in contract management and negotiations.
• Strong data onboarding and project management capabilities.

Responsibilities

• Lead data sourcing and content leadership for Fundamental Equity teams.
• Serve as primary data liaison with internal and external stakeholders.
• Onboard best-in-class datasets and develop data strategy.
• Provide proactive data insights to investment teams.
• Manage data onboarding with Legal, Compliance, Data Science.
• Maintain vendor relationships and negotiate renewals.

Skills

Alternative data

Market data

Financial instruments

Communication

Regulatory knowledge

Contract management

Problem solving

Stakeholder management

Data expertise

Job description

The Senior Associate will be responsible for leading the data sourcing, support & content leadership efforts for the various Fundamental Equity teams at BAM. They will become the primary data liaison and work closely with internal and external stakeholders to onboard best in class datasets. They will partner with BAM Investment teams to provide proactive high touch data insights, establish data onboarding requirements, and develop a targeted data strategy - leveraging external and internal data sets.A background working for or with alternative data providers and strong knowledge across various sector data sets is required

Primary Responsibilities:

• Developing a strong understanding of alternative data and downstream business processes and objectives to help advance data strategies that are aligned with business requirements
• Drive the data scouting initiatives across sectors and build a robust pipeline of potential sector-specific datasets.
• Combining deep data set knowledge, domain expertise, and industry exposure that would allow Investment teams to better understand, contextualize, and interpret data trends into their investment process
• Maintain vendor relationships across a given coverage universe, assist in vendor contract management and renewals / negotiations
• Assist on all alternative data projects/initiatives that each business unit requires and manage the project from beginning to end. Maintain detailed status on each project and required next steps to successfully deliver timely results
• Coordinate the data onboarding process across the various internal teams (Legal, Compliance, Data Science, etc.)

Skills and Knowledge:

• Minimum 4 years of alternative data experience at a vendor or financial services firm
• Broad exposure and knowledge of alternative market data sets e.g. Consumer Transactions, Healthcare, etc. and utilization within the investment research process
• Broad exposure across financial instruments and trading strategies
• Excellent organizational, interpersonal and communication skills and a strong customer focused approach
• Strong understanding of regulatory requirements related to the usage of diverse data sources, ensuring adherence to industry standards and best practices
• Experience in contract management and negotiations
• Proven strategic and tactical problem-solving skills
• Proven collaborative attitude and ability to interface and maintain excellent working relationships with Front Office, Legal, Compliance, etc.
• Ability to maintain the highest level of subject matter expertise across various sector datasets