Hybrid Counterparty Risk Modeling Associate — Analytics

SMBC Group

New York (NY)

Hybrid

USD 95,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model

Job summary

SMBC Group in the United States seeks an Associate for the Counterparty Credit Risk Analytics team. The role leads ongoing monitoring of CCR models, supports BAU operations, and conducts ad-hoc analyses while driving improvements in data quality, calibration, and production controls.

The position offers exposure to CCR analytics frameworks, derivatives and SFT valuation methods, and broader enterprise risk practices. A strong quantitative background and programming skills are required.

Qualifications

  • PhD or Master’s degree in Financial Engineering, Mathematics, Computer Science, Statistics is required or strongly preferred.
  • 2–5 years of experience in counterparty credit risk, xVA or market risk modeling.
  • Strong knowledge of CCR concepts (PFE, EPE, collateral, netting) and regulatory requirements.

Responsibilities

  • Assist in the development and calibration of PFE methodologies for existing and new products.
  • Conduct model calibration and ongoing monitoring, including root-cause analysis of breaches and remediation actions.
  • Provide BAU support and ad-hoc analyses, collaborating with IT to implement solutions.

Skills

CCR concepts
Analytical thinking
Communication
Statistical analysis

Education

PhD or Master’s degree in Financial Engineering, Mathematics, Computer Science, Statistics

Tools

Python
SQL
Power BI

Job description

SMBC Group in the United States seeks an Associate for the Counterparty Credit Risk Analytics team. The role leads ongoing monitoring of CCR models, supports BAU operations, and conducts ad-hoc analyses while driving improvements in data quality, calibration, and production controls.

The position offers exposure to CCR analytics frameworks, derivatives and SFT valuation methods, and broader enterprise risk practices. A strong quantitative background and programming skills are required.

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