Risk Technology – VP

ATLAS SP•Raleigh, NC

56d

About The Position

ATLAS SP Partners is a global investment firm that seeks to provide stable funding and capital markets services to companies seeking innovative and bespoke structured credit and asset-backed finance solutions. ATLAS SP’s tenured experts work with clients to determine the best approach to optimize their capital and achieve their goals, across a broad range of capabilities. Our integrated platform encompasses a holistic suite of capabilities, including asset/portfolio advisory solutions, warehouse/acquisition financing solutions, whole loan purchase/sale and securitization/distribution. Our Culture ATLAS SP is “one team” where everyone makes an impact – we grow together, win together, and embrace change together. From advancing the markets to supporting our communities, everything we do serves to make a difference. Our people are industry leaders with a passion for client service, complex problem solving, and innovation. We provide our talent with the pathways to grow professionally and personally in a collaborative and inclusive environment. We’re 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.

Requirements

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.

Nice To Haves

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.

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.