Senior Credit Risk Analyst

Posted 21 Days Ago
Hiring Remotely in United States
Remote or Hybrid
125K-145K Annually
Senior level
Information Technology • Database • Consulting
The Role
Lead credit risk analytics for consumer credit card acquisition and account management. Develop and maintain quantitative models, analyze large datasets, monitor portfolio risk, prepare risk reports, ensure regulatory compliance, and present findings to senior leadership to inform risk mitigation strategies.
Summary Generated by Built In

Job Location: Preferred in California, otherwise Remote in US (PST Hours)
Work Mode: Hybrid (2-3 days/week in office if CA)
Salary Range: $125K - $145K/Year Base plus Annual Bonus

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Looking for an Analytics professional with 10+ years of work experience in Credit Risk Analytics in Acquisition and Account Management area in the banking and financial services space with a focus on Consumer Credit Cards/ Lending products.

Responsibilities

Responsibilities:

  • Business Knowledge: Understand the core credit cards business and the levers behind various decisions
  • Analytics: Analyze large amounts of data to derive business insights and create innovative solutions/models/strategies  
  • Communication: Clear articulation and structuring of business findings to the leadership and key partners.
  • Risk Modeling: Develop and maintain quantitative models to predict default probabilities and potential losses, incorporating statistical software or machine learning methods 
  • Portfolio Monitoring: Track and review credit exposures, identify risk concentrations, and recommend risk mitigation strategies to management 
  • Reporting & Communication: Prepare detailed risk assessment reports and present findings to credit committees or senior management 
  • Regulatory Compliance: Ensure adherence to banking regulations, internal policies, and risk management frameworks 
Qualifications

Skillset:

  • Analytics professional preferably with experience in Credit Cards analytics. Should have good understanding of acquisition and account management areas.
  • Minimum 10 years of experience in relevant domain - Data Analysis and building models/strategies.
  • Strong knowledge and working experience in SQL and Python is a must.
  • Experience in Plaid and Alloy required
  • Strong communication and interpersonal skills
  • Ability to drive project deliverables to achieve business results.
  • Ability to work effectively in a team environment.

Skills Required

  • 10+ years of experience in Credit Risk Analytics in acquisition and account management
  • Experience in data analysis and building models/strategies
  • Strong knowledge and working experience in SQL
  • Strong knowledge and working experience in Python
  • Experience with Plaid
  • Experience with Alloy
  • Experience in Credit Cards analytics
  • Strong communication and interpersonal skills
  • Ability to drive project deliverables to achieve business results
  • Ability to work effectively in a team environment
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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