Job Details
Contact Person Details
Raghu Polisetty
9087748821
raghu.p@accordtecinc.com
ATC - 1729 - Senior Data Engineer (Credit Risk Domain Expert)
indeed
[New York, NY, 10124..,  New York,  United States | Posted - 06/18/25
Job Description

Job Title: Senior Data Engineer (Credit Risk Domain Expert)
Location: New York, NY (onsite)
Duration: 12 months
Job Type: W2 contract

We are seeking a Senior Data Engineer with Credit Risk expertise to join our Risk Technology team in New York City.
In this critical role, you will design and implement robust data solutions to support credit risk modeling, regulatory reporting (Basel, CCAR), and portfolio analytics.
Your deep understanding of credit risk data domains combined with modern data engineering skills will help strengthen our risk management capabilities.

Key Responsibilities

Credit Risk Data Solutions:

  • Design and optimize data pipelines for credit risk exposure, PD/LGD models, and counterparty risk

  • Implement ETL processes for collateral data, loan portfolios, and credit derivatives

  • Build integrated datasets for Basel III/IV, FRB stress testing, and internal risk reporting

Technical Execution:

  • Develop scalable data pipelines using Python, PySpark, and SQL on AWS/Azure

  • Architect data models for risk factor aggregation and scenario analysis

  • Implement data quality controls for critical risk metrics and regulatory submissions

Stakeholder Collaboration:

  • Partner with Quant Analysts, Risk Managers, and FO/Trading teams

  • Translate complex risk requirements into technical specifications

  • Ensure data solutions comply with FRB, OCC, and internal governance standards

Required Skills & Experience

  • 9+ years data engineering experience with 4+ years in credit risk domain

  • Expert knowledge of credit risk data (exposures, covenants, ratings, RWA)

  • Strong technical skills in:

    • PySpark, Python (Pandas, NumPy), and SQL (advanced optimization)

    • Cloud platforms (AWS S3/Glue/Redshift or Azure equivalent)

    • Data modeling for risk systems (star schemas, time-series analytics)

  • Experience with risk systems like Moodys RiskFrontier, Algorithmics, or similar

  • Understanding of regulatory requirements (Basel, CCAR, Dodd-Frank)

Preferred Qualifications

  • Experience with SACCR, CECL, or FRTB implementations

  • Knowledge of fixed income products and credit derivatives

  • Advanced degree in Quant Finance, Financial Engineering, or related field