Vertical Head Analytics

Yes Bank Ltd.; Maharashtra; On-site; INR 4,000,000 - 5,600,000; Full time

Job summary

Yes Bank Ltd. seeks a senior analytics leader to drive cross-functional data science initiatives across customer lifecycle stages for multiple bank products. You will translate data-driven insights into strategies for acquisition, pricing, cross-sell, and portfolio management with measurable business impact.

Lead ML-powered models, establish scorecards, monitor performance, and partner with executives to optimize processes and cost efficiencies. Strong business orientation is essential.

Qualifications

• Essential: 10-15 years in consulting, business analytics or statistical modelling.
• Preferred: Banking, NBFC, large fintechs, Big 4.
• Bachelor’s degree required; Master’s preferred in business management, statistics, applied mathematics.

Responsibilities

• Build and manage statistical scorecards for different businesses and processes.
• Model performance monitoring and governance; monitor processes that use scorecards; measure impact.
• Drive process automation; explore data opportunities and enrichments to enhance modelling efficacy.
• Work with senior management to identify problem and opportunity areas for analytical intervention.
• Independently develop innovative models for strategic business imperatives.

Skills

Customer and Quality Focus

Professional Entrepreneurship

Drive for Results

Influence and Impact

Integrity

Lead and Develop people

Enables Change

Build transparent and inclusive teams

Education

Bachelor’s degree

Master’s degree preferred

Job description

PURPOSE OF THE ROLE

The role holder is responsible for driving analytics projects across customer life cycle stages of various products of the Bank and create data driven actionable insights for informed business decisions to generate incremental business growth along with cost optimization driven by process efficiencies. The role drives Data Science enablers including ML powered statistical models for enabling strategies across acquisition, pricing, cross- sell, portfolio management, digital marketing with a strong business impact orientation..

SECTION IV: KEY RESPONSIBILITIES & KPIS OF THE ROLE

Strategy and Planning

Structured and consistent engagement with business leaders and key stakeholders for monitoring performance across different KPI, identify opportunities for analytics enabled interventions, formulate & drive strategic projects, ensure value delivery

• Revenue growth & cost saving from Data driven Initiatives
• User adoption rate
• Model accuracy & Performance
• Data Processing speed & Time-to-Insight &
• Stakeholder satisfaction

Policies, Processes & Procedures

The candidate should be able to work with the various governance and control functions of the bank to ensure policy and process adherence.

Key Deliverables And Responsibilities

Build and manage statistical scorecards for different businesses, and processes. Model performance monitoring and governance, Monitor business processes that use scorecards, measure impact, ensure optimal usage of scorecards, coordination with business stakeholders. Drive process automation. Explore and evaluate new data opportunities and leverage possible data enrichments to enhance modelling efficacy. Work closely with senior management to identify problem and opportunity areas for analytical intervention. Independently come up with innovative models to solve for strategic business imperatives of the bank.

People Management.

Ensure adequate staffing in place for key activities & to ensure training (scheduled and on-the-job) are imparted to team members. Identify key resources and groom them for higher responsibilities, build expertise on cards portfolio and risk management. Drive adherence to YES Personality guidelines. Ensure good working environment & minimal attritions

SECTION VI: ROLE PROFILE REQUIREMENTS

Education

Minimum qualification which are essential to execute the role. Essential: Bachelor’s degree in any field Preferred: Master’s degree preferred in business management, statistics, applied mathematics

Experience

Essential: 10 - 15 years of work experience in consulting, business analytics, statistical modelling Preferred: Banking, NBFC, Large Fintechs, Big 4

Competencies

• Customer and Quality Focus
• Professional Entrepreneurship
• Drive for Results
• Influence and Impact
• Integrity
• Lead and Develop people
• Enables Change
• Build transparent and inclusive teams