Senior Consultant, AI & Data Engineering

Core Responsibilities

• Lead the design and implementation of scalable data platforms (data warehouses, data lakes) and end-to-end data pipelines
• Develop and optimize production-grade code (Python/Spark) for data transformation and financial analysis
• Build customized analytical applications, dashboards, and quantitative investment tools
• Ensure efficient delivery and adherence to data governance and integrity standards
• Collaborate with client investment teams to translate investment process requirements into robust, automated tools and data products
• Provide technical and project leadership across engagements
• Understand client business context to ensure technical solutions solve real problems

Qualifications

• 7+ years of hands-on experience in a technical or analytical role (Quant, Quant Dev, Data Scientist, or Data Engineer). Minimum of 5 years for highly exceptional candidates
• Prior experience at hedge funds, fintech firms/startups, market makers, or top-tier asset management firms. Experience at top technology or strategy consulting firms considered on a case-by-case basis
• Demonstrated project leadership, ideally overseeing technical delivery from inception to production
• Proficiency in Python (Pandas, NumPy, Scikit-learn) and advanced SQL query optimization
• Experience with at least one major cloud platform (AWS, GCP, or Azure) and associated data services (Snowflake, Databricks)
• Deep understanding of data modeling and data warehousing principles

Valued

• Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect)
• Experience building quantitative trading or investment tools
• Background in financial data (market data, portfolio analytics, fund accounting)

Personal Attributes

• High ownership mentality: you see problems through to resolution without being told
• Understands what high-quality work looks like and how to deliver it
• Curious and interested in learning about new technologies and the investment industry
• Seeks to understand the broader business context, not just the technical requirements
• Independent thinker who takes initiative

Benefits

Location: Hybrid in the NYC area. Expect to travel roughly one week per month for on-site client work.

Pay

Total expected compensation: $250 to $500K+ (commensurate with experience)

Schedule

Firm equity available for high performers