Engagement Manager

Proclink; Hyderabad, Ahmedabad District, Delhi; Hybride; INR 3 500 000 - 7 000 000; Plein temps

Résumé du poste

Proclink is seeking an Engagement Manager Analytics to lead strategic credit risk, data, and analytics initiatives for a leading US banking client. You will partner with banking leadership to shape data-driven credit risk strategies and deliver measurable business outcomes.

The role requires 15+ years in banking analytics, with proven experience in policy development, portfolio analytics, and cross-functional leadership across US and India.

Qualifications

• 15+ years of experience in banking or financial services analytics.
• Experience in commercial and SMB banking and credit risk strategy.
• Experience leading complex client engagements with global teams.

Responsabilités

• Lead strategic credit risk, data, and analytics initiatives for a US banking client.
• Partner with banking leadership to shape data-driven credit risk strategies.
• Oversee delivery, governance, and cross-functional teams across US and India.

Connaissances

Credit risk analytics

Stakeholder management

Leadership

Communication

SQL

Python

SAS

Formation

Bachelor's degree in Engineering, Computer Science, Mathematics, Economics, Finance, or related quantitative discipline

Masters degree preferred

Outils

SQL

Python

SAS

Description du poste

Engagement Manager Analytics

Location: India
Experience: 15+ years
Industry: Banking & Financial Services

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

• 15+ 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.
• Bachelors degree in Engineering, Computer Science, Mathematics, Economics, Finance, or a related quantitative discipline. Masters degree preferred.