Risk Technology – VP, Data & Enterprise Services

Risk Technology – VP, Data & Enterprise Services

About ATLAS SP

ATLAS SP Partners is a global investment firm that provides stable funding and capital markets services to companies seeking innovative structured credit and asset‑backed finance solutions. The firm’s experts help clients optimize capital and achieve their goals across a broad array of capabilities, including asset/portfolio advisory, warehouse/acquisition financing, whole‑loan purchase/sale, and securitization/distribution.

Our Culture

ATLAS SP values teamwork, impact, and innovation. Everyone is an integral part of the team, and the firm supports professional growth and inclusion. It builds on a legacy of excellence, deep expertise, and client service across the asset management landscape.

Position Overview

ATLAS SP seeks a senior hands‑on engineering leader to join our Data & Enterprise Services team. The role focuses on delivering high‑quality technology solutions for Market Risk, Credit Risk, and enterprise risk reporting. The VP will collaborate closely with the Risk Management organization, Front Office, and global technology teams, and must possess deep knowledge of risk metrics, validation, and consumption.

Key responsibilities include:

• 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, calculation methods, 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

• 5+ years of 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.
• Experience with fixed‑income, credit, derivatives, loans, and structured products.
• Advanced SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Proficiency in Python 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 and 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.

Compensation includes a base salary range (listed on the posting) and eligibility for a discretionary annual bonus based on personal, team, and firm performance.

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 any other criterion prohibited under governing law.