Sr. Manager-Consumer Credit Risk Analytics

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in New Jersey, USA
Remote
130K-145K Annually
Senior level
Information Technology • Database • Consulting
The Role
Leads consumer credit risk analytics and reporting transformation for a banking client. Analyzes portfolio performance, delinquency and loss trends, risk appetite, acquisition quality, line management, and mitigation strategies. Manages automation of risk reporting with data engineering partners, validates outputs, authors risk narratives, guides program roadmaps, and engages senior client stakeholders.
Summary Generated by Built In

Senior client-facing role leading transformation of credit risk reporting for a top US banking client across consumer lending portfolio (secured and unsecured) combining risk analytics with delivery leadership of a large-scale reporting automation program.
 

Responsibilities

Key responsibilities:

  • Portfolio performance analytics and risk insight - Analyze credit performance across consumer book: identify emerging trends, drivers of delinquency and loss movements, assess performance against risk appetite, connect portfolio outcomes to underlying credit strategy — acquisition quality, line management, and loss mitigation. Author the risk narrative presented to the client's senior risk leadership each cycle.
  • Lead the reporting automation program — Manage the end-to-end automation of risk reporting suite in partnership with the data engineering team responsible for the automation: prioritize build, ensure business logic and analytical intent are correctly implemented, and own validation and sign-off on automated outputs. 
  • Own client engagement — Manage senior risk stakeholders, drive program roadmap, and be accountable for delivery.
Qualifications

Qualifications: 

  • Min. 4 years of consumer credit risk analytics experience at a bank or consumer lender, spanning portfolio analytics, credit strategy, performance reporting and risk appetite frameworks
  • proven ability to present and defend risk positions with senior stakeholders
  • SQL (mandatory) / Python proficiency preferred
  • Familiarity with modern data environments (Databricks/Snowflake) and experience guiding reporting automation or analytics modernization preferred

    Base Compensation Range: $130,000- $145,000

    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.


About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

  • At least 4 years of consumer credit risk analytics experience at a bank or consumer lender
  • Experience spanning portfolio analytics, credit strategy, performance reporting, and risk appetite frameworks
  • Ability to present and defend risk positions with senior stakeholders
  • SQL proficiency
  • Python proficiency
  • Familiarity with modern data environments such as Databricks or Snowflake
  • Experience guiding reporting automation or analytics modernization
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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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