Santander Bankposted 8 months ago
$51,000 - $102,000/Yr
Full-time • Mid Level
Remote • Dallas, TX
Credit Intermediation and Related Activities

About the position

The Senior Associate, Credit Risk position at Santander Consumer USA Inc. involves evaluating counterparty credit equivalent exposure in non-standard trade positions using advanced modeling techniques. The role focuses on identifying potential credit risks, analyzing counterparty portfolios, and ensuring compliance with company policies while managing credit risk effectively. This position offers a hybrid work environment, allowing for a combination of in-office and remote work.

Responsibilities

  • Evaluate counterparty credit equivalent exposure in non-standard trade positions using modeling techniques.
  • Identify potential credit risks and assess impact, probability of occurrence, and timeframe.
  • Analyze counterparty portfolio and cross-border risk data, events, and trends.
  • Investigate various credit risk inquiries, proposals, and plans, and make recommendations to mitigate risk.
  • Ensure adherence to company policies and procedures by managing credit risk policy, setting standard definitions, and monitoring policy implementation.
  • Monitor and manage risk/exposure and compliance with the company's policies.
  • Identify, manage, and report on the company's risk areas.
  • Evaluate the adequacy and effectiveness of data and document retention, and monitor systems.

Requirements

  • Master's Degree in Predictive Analytics or Business Analytics.
  • 2 years of experience in the position offered or a credit analyst or business analyst role.
  • Experience conducting portfolio management including building automatic portfolio monitoring algorithms, timely flagging risks, and recommending solutions.
  • Proficiency in Microsoft SQL Server (Transpose, Partition, CTE, Cursor).
  • Advanced skills in Microsoft Excel (Pivot, VBA, V-lookup, Solver) and Power BI data visualization.
  • Programming experience in SAS and R for modeling, data mining, and data visualization.
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