3562989-Lead Assistant Manager

EXL Talent Acquisition Team; Gurugram District; On-site; INR 600,000 - 900,000; Full time

Job summary

EXL Talent Acquisition Team is seeking a Data Analyst with 2–3 years of hands-on experience in data analysis and banking risk knowledge. The role requires SAS, SQL, Python proficiency and exposure to Power BI or Tableau for reporting and dashboards.

You will support risk analytics initiatives for US-based banks, develop risk policies for BNPL and POS lending, and design DOE-based A/B testing to optimize risk programs.

Qualifications

• Bachelor’s / master’s degree in Statistics, Mathematics, Engineering, or a related field
• 2–3 years of experience in data science, analytics, or a related role
• Proficiency in Python, SAS, SQL
• Good to have experience on data visualization tools (e.g., Power BI, Tableau)
• Strong problem-solving skills and analytical thinking
• Excellent verbal and written communication skills
• Past experience in problem solving roles, strategic initiatives etc. is added advantage
• Knowledge in banking domain

Responsibilities

• Support tactical & strategic risk analytics initiatives for US based banks’ Risk team
• Develop risk policy for Point of Sale (POS) lending, Buy-now-pay-later (BNPL), and Credit Card solutions
• Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs
• Policy analytics to make sure correct customer segments are targeted and acquired
• Build reporting/BI frameworks for Risk teams within the organization
• Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance
• Clearly communicate analysis as presentations to technical & non-technical groups
• Develop and maintain effective working relationships with colleagues in other areas of Risk Management.
• Summarize analytical findings into presentations and share analysis & reports with senior leadership.
• Maintain a high degree of technical and policy understanding with respect to credit risk.

Skills

Data analysis

Analytical thinking

Communication skills

Education

Bachelor’s / Master’s degree in Statistics, Mathematics, Engineering, or related field

Tools

Python

SAS

SQL

Power BI

Tableau

Job description

We are seeking a highly motivated and skilled Data Analyst with 2–3 years of hands‑on experience in data analysis and holds banking, analytical and credit risk knowledge. The ideal candidate will have strong technical expertise in SAS, ;SQL along with excellent communication skills and a working knowledge of banking concepts.

Required Qualifications

• Bachelor’s / master’s degree in Statistics, Mathematics, Engineering, or a related field
• 2–3 years of experience in data science, analytics, or a related role
• Proficiency in Python, SAS, SQL
• Good to have experience on data visualization tools (e.g., Power BI, Tableau)
• Strong problem-solving skills and analytical thinking
• Excellent verbal and written communication skills
• Past experience in problem solving roles, strategic initiatives etc. is added advantage
• Knowledge in banking domain

Key Responsibilities

• Support tactical & strategic risk analytics initiatives for US based banks’ Risk team
• Develop risk policy for Point of Sale (POS) lending, Buy-now-pay-later (BNPL), and Credit Card solutions
• Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs
• Policy analytics to make sure correct customer segments are targeted and acquired
• Build reporting/BI frameworks for Risk teams within the organization
• Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance
• Clearly communicate analysis as presentations to technical & non-technical groups
• Develop and maintain effective working relationships with colleagues in other areas of Risk Management.
• Summarize analytical findings into presentations and share analysis & reports with senior leadership.
• Maintain a high degree of technical and policy understanding with respect to credit risk.