Credit Risk & Analytics – Engagement Manager

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Work directly with the client and play a critical role in shaping how credit decisions, portfolio performance, and risk-adjusted revenue decisions are made • Work on the full credit lifecycle from strategy and pricing to portfolio health and performance, ensuring the risk approach supports sustainable growth and strong financial outcomes • Directly influence profitability, capital efficiency, and long-term scalability

🎯 Requirements

• Bachelor’s degree in finance, economics, mathematics, or a related field required; advanced degree preferred • 10+ years of progressive experience in credit risk with direct ownership of portfolio performance • 3+ years in a director-level or higher leadership role managing teams • Strong experience in small business lending, alternative finance, Merchant Cash Advances or non-prime environments preferred • Proven track record of making credit and pricing decisions with measurable business impact • Experience operating at an executive level with strong cross-functional influence • Deep expertise in portfolio management, pricing strategy, and unit economics • Strong understanding of underwriting processes, credit policy design, and segmentation strategies • Ability to interpret and challenge analytics outputs without direct model development ownership • Advanced proficiency in Excel; working knowledge of SQL and BI tools for data interpretation • Familiarity with credit decisioning systems, data vendors, and fraud tools • Experience leveraging data to inform strategy, stress testing, and scenario planning

🏖️ Benefits

• For more information on benefits and what we offer please visit us at US Careers and Benefits