BIU:Business Analyst-RL&P- Consumer

CFA Institute; Bengaluru; On-site; INR 8,00,000 - 12,00,000; Full time

Job summary

A leading financial services organization is seeking a Business Intelligence Analyst to join its Analytics team in Bengaluru. The role involves developing strategies for Retail Lending & Payments and requires strong analytical skills and the ability to work with large datasets. Ideal candidates will have qualifications in finance or quantitative subjects, proficiency in SAS, R, or Python preferred, and banking analytics experience is a plus.

Qualifications

• CA/CS/CFA or Advanced degree in Engineering, Mathematics, Operations Research, Statistics, Economics or Finance.
• Experience with SAS, R, Bigdata or Python is preferred.
• Strong interpretive skills to process large data volumes.

Responsibilities

• Develop product strategy and portfolio analysis for Retail Liabilities.
• Create business insights through quantitative/statistical analysis.
• Recommend actionable strategies to stakeholders.
• Collaborate with technology and strategy teams on growth opportunities.
• Monitor portfolio performance and develop strategies for revenue growth.

Skills

Critical thinking

Experience in SAS

Experience in R

Experience in Python

Data handling skills

Problem solving skills

Project management

Education

CA/CS/CFA or Master's degree in quantitative subjects

Job description

Role description

BIU: Business Intelligence Analyst-RL&P- Mortgages

INTERNAL USAGE: No. of Vacancies: Reports to: Is a Team leader? Yes Team Size: Grade: Business: BIU Department: • BIU Sub - Department: BIU Location: Mumbai/Bangalore

About BIU: Axis Bank © (BIU): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the Bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial crime analytics, business and marketing analytics, building predictive scores, data engineering and business reporting.

About the Role

The person would be a part of the Analytics team primarily focusing on Retail Lending & Payments. The Analytics team is responsible for the end to end strategy, design/development, execution and performance synthesis.

Key Responsibilities

• Develop product strategy, conduct portfolio analysis for Retail Liabilities, Insurance & Investment Products
• Create business insights by performing root cause analysis leveraging available quantitative/ statistical tools and techniques
• Generate insights from a variety of business initiatives and recommend actionable strategies to business stakeholders
• Work cross-functionally with Senior Leaders, technology, strategy and project management teams to identify growth opportunities and implement impactful projects
• Closely work with core business stakeholders on monitoring portfolio performance across products, developing take-up, customer engagement, digital activation & price optimization strategies for revenue growth
• Manage & work on tracking key business metrics to ensure that all KPIs ladder back up to business objectives

Qualifications

CA/CS/CFA or Advanced degree (Master's or above) in a quantitative subject such as Engineering, Mathematics, Operations Research, Statistics, Economics or Finance

Role Proficiencies

• Should have critical thinking to conceptualize the problem, draw insights and recommend logical strategies
• Preferably have experience on SAS or R or Bigdata or Python
• Should have strong data handling, interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
• Should have a results oriented attitude with go get it done skill
• Should have Good project management skills while working with both internal and external partners
• Should have a high degree of motivation with a continuous thirst for learning
• Banking Analytics experience preferred but not mandatory for talented candidates