Risk Technology – VP, Data & Enterprise Services
About ATLAS SP Partners
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.
Our Culture
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.
Position Overview
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 Risk, and enterprise risk reporting.
The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP must deeply understand how risk metrics are produced, validated, and consumed, and be able to analyze, explain, and troubleshoot risk number movements.
This role requires strong SQL, Python, and data engineering skills, along with deep 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.
Primary Responsibilities
- Serve as the senior technical partner for Market Risk and Credit Risk teams.
- Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
- Work with Risk Management to understand risk measures, how they are calculated, and the business impact of risk number movements.
- Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
- Validate and troubleshoot risk calculations using market data, pricing inputs, and risk factor mappings.
- Support risk analytics for fixed income, credit, derivatives, structured products, and loan assets.
- 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.
Required Qualifications and Experience
- Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
- Strong understanding of risk metrics including DV01, VaR, stress testing, scenario analysis, and credit exposure concepts.
- Familiarity with risk across fixed income, credit, derivatives, loans, and structured products.
- 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.
- Excellent communication skills, with ability to partner with Risk Management, Front Office, and Quant teams.
- Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related quantitative discipline.
Preferred Qualifications and Experience
- 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.
N/A
The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.
ATLAS SP is an equal opportunity employer. The firm and its affiliates do not discriminate in employment because of race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other criteria prohibited under controlling federal, state or local law.