Subject Matter Expert – Banking

Ganit Inc.; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Opportunity to work on cutting-edge data and AI use cases

Exposure to leading financial institutions

Fast-paced growth environment

Job summary

Ganit Inc. is seeking a Banking SME in Mumbai with strong technical capabilities in data and analytics. You will work closely with clients and internal teams, focusing on retail and corporate banking solutions. The ideal candidate will have 5+ years of banking experience, a Bachelor’s degree (MBA preferred), and expertise in SQL, Python/R, and BI tools like Power BI. This role involves high ownership and cross-functional collaboration, offering exposure to leading financial institutions and cutting-edge data applications.

Qualifications

• 5+ years of experience in banking, NBFC, consulting, or analytics roles.
• Strong hands-on experience in SQL for data extraction and analysis.
• Working knowledge of Python/R for data analysis is preferred.

Responsibilities

• Act as a domain expert across banking engagements.
• Engage with clients to gather and structure business requirements.
• Design and deliver solutions aligned with business objectives.

Skills

Banking domain expertise

SQL for data extraction

Data analysis with Python/R

Experience with BI tools

Analytical problem-solving

Stakeholder management

Education

Bachelor's degree

MBA or equivalent

Tools

Power BI

Tableau

Job description

About the Role

We are looking for a Banking SME with strong technical and analytical capabilities to work closely with clients and internal teams in shaping and delivering data-driven solutions.

This role requires a blend of deep banking domain expertise and hands‑on experience with data, analytics, and reporting tools to drive meaningful business outcomes.

Key Responsibilities

• Act as a domain expert across banking engagements, with strong exposure to retail and/or corporate banking
• Engage with clients to gather and structure business requirements into analytical problem statements
• Work closely with data science, analytics, and engineering teams to design and deliver solutions aligned with business objectives
• Define and track key KPIs across lending, liabilities, customer lifecycle, and risk
• Analyze data, validate outputs, and ensure business relevance of analytical models and dashboards
• Translate business requirements into data specifications, logic, and metrics definitions
• Participate in client discussions, workshops, and reviews as a techno‑functional expert
• Ensure proper documentation of use cases, workflows, and data requirements

Key Domain Expertise

• Retail Banking: CASA, deposits, customer acquisition, cross‑sell/upsell
• Lending: Personal, home, SME/MSME lending, underwriting
• Credit Risk & Collections: Scorecards, delinquency, recovery strategies
• Digital Banking: Customer journeys, funnel optimization, digital adoption
• Compliance: KYC, AML fundamentals

Technical Skills (Must‑Have)

• Strong hands‑on experience in SQL for data extraction and analysis
• Working knowledge of Python / R for data analysis (preferred)
• Experience with BI tools such as Power BI, Tableau, or similar
• Ability to work with large datasets and understand data structures
• Experience translating business problems into data models, KPIs, and dashboards

Key Skills

• Strong techno‑functional understanding of banking processes
• Excellent analytical and problem‑solving skills
• Strong stakeholder management and communication abilities
• Ability to work in fast‑paced, cross‑functional environments

Qualifications

• 5+ years of experience in banking / NBFC / consulting / analytics roles
• Bachelor’s degree required; MBA or equivalent preferred
• Prior experience in analytics or data‑driven projects is highly preferred

What You’ll Get

• Opportunity to work on cutting‑edge data and AI use cases in banking
• Exposure to leading financial institutions
• Cross‑functional collaboration across business, data, and technology teams
• Fast‑paced growth environment with high ownership