Senior Analytics Engineering Consultant

Senior Consultant, Data & Analytics for Asset Managers

Join a next-generation consulting firm founded by an executive with a track record of building and leading quantitative research, trading, development, and data science teams at top-tier hedge funds. This role is a rare opportunity to directly leverage that expertise to drive strategic and technical transformation for leading Asset Managers, Hedge Funds, and Asset Allocators.

This is an exceptional opportunity for highly ambitious professionals interested in::

• Working with clients on high-Impact, full-scope projects that blend strategy, technology and implementation
• Direct mentorship from the firm’s Principals, who have built world-class teams
• A clear path to ownership and potential partnership in the firm

The firm works with Asset Management firms, Hedge Funds and Asset Allocators with a focus on data, analytics and AI. We assist clients with the full scope of what is needed to deliver impact and our projects may include:

• Strategy and Roadmap
• Vendor Assessment and Contracting
• Implementation and Integration
• Design and Implementation of Data Platforms
• Application Development
• Organizational Design and Processes
• Talent, Learning and Development

This role will have an emphasis on:

• Leading client engagements
• Strategic Data Modeling and Architecture
• Creating end-to-end data pipelines
• Building customized and interactive analytical applications and dashboards
• Constructing quantitative trading and investment tools

We’re looking for someone who:

• Takes a high degree of ownership and pride in their work
• Connects with the high-level goals and can work independently
• Understands what high quality work looks like and how to deliver it
• Is curious and interested in learning about new technologies and the investment industry
• Wants to use technology to solve real client problems
• Takes initiative and is an independent thinker
• Seeks to understand the broader business (e.g., the clients, their problems, the opportunities)

Responsibilities:

• Collaborate with client investment teams to translate investment process requirements into robust, automated tools and data products
• 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
• Provide technical and project leadership, ensuring efficient delivery and adherence to data governance/integrity standards

Experience:

• Minimum of 7+ years of hands-on experience in a technical or analytical role (Quant, Quant/Dev, Data Scientist, or Data Engineer). A minimum of 5 years is required for highly exceptional candidates
• (experience at top Technology or Strategy Consulting firms considered on a case-by-case basis)
• Demonstrated experience in project leadership, ideally overseeing technical delivery from inception to production

Skills:

• Excellent problem-solving and analytical skills with a focus on data
• Effective communication and collaboration skills
• Empathetic and able to understand clients and teammates
• Deep understanding of data modeling and data warehousing principles
• Mandatory 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 (e.g., Snowflake/Databricks)
• Familiarity with data pipeline orchestration tools (e.g., Airflow)
• A passion for learning and staying up-to-date with the latest data technologies

Location and Travel: There is an expectation that the candidate will travel roughly 1 week a month to work directly with clients. The rest of the time will be

Compensation:

• Total Compensation (All Cash): $300k - $600k+ (function of experience and capability)
• Equity Potential: Opportunities for equity in the firm available for high performers