Risk Technology – VP, Data & Enterprise Services

ATLAS SP Partners is a global investment firm providing stable funding, financing, advisory and institutional products to market participants seeking innovative and bespoke structured credit and asset-backed solutions. Our experienced team works closely with clients to determine optimal approaches for capital optimization and goal achievement, leveraging a holistic suite of integrated capabilities – including asset and portfolio advisory, warehouse and acquisition financing, whole loan purchase and sale, and securitization and distribution. ATLAS is proud to build upon a legacy of client excellence, distinguished by certainty of execution, deep expertise, and comprehensive service across the asset management landscape.

ATLAS operates as “one team” where every individual makes an impact. We grow together, win together, and embrace change as a unified organization. Our commitment extends beyond advancing markets, and we strive to make a meaningful difference in our communities and for our clients. Our people are industry leaders, driven by a passion for client service, complex problem solving, and innovation. We foster professional and personal growth in a collaborative, inclusive environment, and are proud to build upon a legacy of excellence anchored in deep expertise and client service across the asset management landscape.

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

• →Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• →Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• →Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• →Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• →Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• →Drive improvements in automation, data validation, transparency, and modernization of risk processes.

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000