Engagement Manager

Proclink; New India colony; Hybrid; INR 14.259.000 - 18.061.000; Vollzeit

Zusammenfassung

Proclink is seeking an Engagement Manager to lead strategic credit risk, data, and analytics initiatives for a major US banking client. The role requires deep domain expertise in commercial and SMB banking, credit risk management, and advanced analytics, with a proven track record of leading complex consulting engagements.

This senior client-facing role partners with banking leadership to solve complex business challenges, shape data-driven credit risk strategies, and deliver measurable business

Qualifikationen

• 10+ years in banking, credit risk analytics, or financial services consulting with SMB/Commercial banking focus.
• Experience in credit policy development, risk score assessment, and portfolio analytics.
• Led complex client engagements, managed global teams, and influenced senior stakeholders.
• Excellent communication and analytical problem-solving with SQL, Python, SAS or similar tools.

Aufgaben

• Serve as trusted advisor to senior stakeholders across Commercial & SMB Banking, Credit Risk, Underwriting, and Analytics.
• Lead credit risk strategy, portfolio analytics, underwriting, and policy optimization initiatives.
• Own engagement scope, timelines, delivery quality, and business outcomes; guide cross-functional teams in US and India.

Kenntnisse

Credit risk analytics

Stakeholder management

Leadership

SQL

Python

SAS

Ausbildung

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SQL

Python

SAS

Jobbeschreibung

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.

Experience: 10+ years