AVP - Wallet Analytics & Benchmarking

Crisil; Kurla; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Crisil is seeking a senior analytics contributor to perform benchmarking analytics, client intelligence, and data-driven strategy work for global financial institutions. You will independently manage complex analytical workstreams and deliver high-quality outputs for clients, with a focus on automation and scalable solutions.

Required are strong hands-on skills in financial services analytics, corporate banking strategy, and executive-ready storytelling, plus 5–7 years of relevant experience.

Qualifications

• Strong banking and financial services domain knowledge with ability to translate business questions into analytical plans.
• Experience delivering client-ready analytics and executive-level insights.
• Proficiency in Excel, PowerPoint, Power BI and Python for automation and visualization.

Responsibilities

• Execute end-to-end benchmarking analytics for global investment banks.
• Manage collection, validation, processing and QC of sensitive client submissions.
• Maintain and enhance wallet-sizing methodologies and benchmarking models.
• Produce accurate benchmarking outputs, insights, dashboards, and client presentation materials.
• Combine public and private data to generate actionable insights for senior stakeholders.

Skills

Banking domain expertise

Data analysis

Storytelling

Education

Master's in Finance/Economics/Statistics/Data Analytics

MBA/CFA/FRM a plus

Tools

Python

Excel

Power BI

Job description

We are seeking a senior individual contributor to execute benchmarking analytics, client intelligence, and data-driven strategy work for global financial institutions. The role requires strong hands-on expertise in financial services analytics, Corporate Banking strategy, benchmarking methodologies, automation, and executive-ready insight generation.

This is an execution-focused role for someone who can independently manage complex analytical workstreams, improve workflows, and deliver high-quality client-facing outputs.

Key Responsibilities

• Execute end-to-end benchmarking analytics for global investment banks.
• Manage collection, validation, processing, and quality control of sensitive client submissions.
• Maintain and enhance wallet-sizing methodologies and benchmarking models.
• Produce accurate benchmarking outputs, insights, dashboards, and client presentation materials.
• Combine public and private data to generate actionable insights for senior stakeholders.

Workflow Automation and Process Improvement

• Improve efficiency and standardization across analytics workflows.
• Automate manual processes using Python, Excel, Power BI, and related tools.
• Build scalable models, dashboards, templates, and reusable analytical assets.
• Support adoption of new analytics tools, automation techniques, and AI/ML-enabled solutions.
• Contribute to long-term client relationship management through high-quality analytical delivery.

New Analytics Development

• Support development of new analytical solutions, analysis and visualizations.

Key Skills and Competencies

• Strong understanding of Banking, including products, competitive landscape, and bank strategies in India or Global.
• Proven ability to translate business questions into analytical plans and deliver actionable outputs.
• Strong data analysis, problem-solving, and storytelling skills.
• Hands-on experience with automation, analytics tools, and workflow optimization.
• Excellent written and verbal communication skills.
• Ability to work independently on complex, data-intensive projects.
• Strong attention to detail and commitment to data accuracy.

Qualifications and Experience

• 5–7 years of relevant experience in banking, financial services, Client Strategy, capital markets, corporate/institutional banking, or benchmarking analytics.
• Advanced degree in Finance, Economics, Statistics, Data Analytics, or related field preferred.
• MBA, CFA, FRM, or similar qualification is a plus.
• Strong proficiency in Excel, PowerPoint, Power BI, and Python.
• Experience handling sensitive client data and producing senior stakeholder-ready deliverables.