The Role
Leads strategic credit risk, data, and analytics consulting engagements for commercial and small business banking clients. Advises senior stakeholders on credit policy, underwriting, risk scoring, portfolio analytics, exposure management, and risk reporting. Owns engagement scope, delivery quality, timelines, governance, and outcomes while managing global teams and presenting recommendations to executives.
Summary Generated by Built In
About the Role:
We are seeking an experienced Engagement Manager to lead strategic credit risk, data, and analytics initiatives for a leading US banking client. The ideal candidate will bring deep expertise in commercial and small business banking (SMB), credit risk management and advanced analytics, with a proven track record of leading complex consulting engagements.
This is a senior client-facing role responsible for partnering with banking leadership to solve complex business challenges, shape data-driven credit risk strategies, and deliver measurable business outcomes.
Key Responsibilities:
Client Engagement & Relationship Management
- Serve as a trusted advisor to senior stakeholders across Commercial & SMB Banking, Credit Risk, Underwriting, and Analytics.
- Understand business priorities, structure complex problems, and translate them into actionable analytics initiatives.
- Lead executive discussions, present strategic recommendations, and identify opportunities to expand client relationships and deliver business value
Credit Risk Strategy & Portfolio Analytics
- Lead initiatives across commercial and SMB credit risk, portfolio analytics, underwriting, and credit policy optimization.
- Guide portfolio risk assessments, including performance trends, vintage analysis, risk segmentation, and concentration risk.
- Advise on credit policy development and implementation, risk score evaluation, credit limit assignment, and exposure management.
- Leverage internal banking and external credit bureau data to strengthen risk assessment, underwriting, and portfolio decisions
- Identify opportunities to enhance risk reporting, management information systems (MIS), and portfolio monitoring.
Analytics & Delivery Leadership
- Own engagement scope, priorities, timelines, delivery quality, and business outcomes.
- Lead cross-functional teams across the US and India, ensuring timely delivery and alignment with client expectations
- Provide guidance on statistical analysis, risk score validation, credit policy simulations, and performance measurement.
- Establish delivery governance, monitor progress, manage risks, and proactively resolve issues.
Required Experience & Qualifications
- 10+ years of experience in banking, credit risk analytics, or financial services consulting with deep domain expertise in commercial and SMB banking
- Proven experience in credit policy development and optimization, risk score assessment, credit decisioning, and portfolio analytics.
- Experience working with internal banking and external credit bureau data, including sandbox environments.
- Demonstrated ability to lead complex client engagements, manage global teams, and influence senior stakeholders.
- Excellent communication and analytical problem-solving skills with working knowledge of SQL, Python, SAS, or comparable analytical tools.
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics, Finance, or a related quantitative discipline. Master’s degree preferred.
Skills Required
- 10+ years of experience in banking, credit risk analytics, or financial services consulting
- Deep expertise in commercial and small business banking
- Experience developing and optimizing credit policies
- Experience with risk score assessment and credit decisioning
- Experience in portfolio analytics
- Experience using internal banking and external credit bureau data, including sandbox environments
- Experience leading complex client engagements and managing global teams
- Ability to influence senior stakeholders
- Excellent communication and analytical problem-solving skills
- Working knowledge of SQL, Python, SAS, or comparable analytical tools
- Bachelor's degree in Engineering, Computer Science, Mathematics, Economics, Finance, or a related quantitative discipline
- Master's degree
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The Company
What We Do
Proclink is a digital and AI transformation company that helps regulated and operationally intensive enterprises modernize systems, workflows, and decision environments. It combines strategy and consulting, data engineering, artificial intelligence, analytics, implementation and integration, managed services, and technology services. The company serves manufacturing, financial services, life sciences, and other regulated industries, delivering connected enterprise intelligence and measurable operational performance for clients.
