Job Description
• Define organizational data science strategy
• Lead a dynamic team and work in a fast paced environment
About Our Client
It is an Indian Banking client
Job Description
Key Responsibilities - * Own analytics and data science outcomes for Commercial Banking across lending, collections, customer analytics, pricing, cross-sell, risk models and portfolio management.
• Define and execute the Commercial Banking analytics strategy aligned to business priorities, regulatory expectations, and enterprise data standards.
• Lead 20+ member multi-disciplinary teams spanning analytics, data science, model development, and advanced analytics use cases.
• Drive development, deployment, and lifecycle management of credit, risk, propensity, and decisioning models, ensuring robustness, explainability, and regulatory compliance.
• Embed analytics into frontline and operational systems to enable straight-through processing, automation, and real-time decision support.
• Partner with Commercial Banking leadership to identify, prioritize, and deliver high-impact analytics use cases with clear business ownership and value realization.
• Work closely with Enterprise Data Platform, Technology, and Architecture teams to ensure comprehensive, scalable, reliable, and compliant data access for analytics.
• Establish strong analytics governance covering model risk management, validation, monitoring, documentation, and audit readiness.
• Act as the single accountable leader for analytics talent, capability building, vendor partnerships, and external ecosystem engagement within Commercial Banking.
• Drive adoption of advanced analytics, machine learning, and AI responsibly, aligned with data privacy, security, and regulatory requirements.
The Successful Applicant
As a successful candidate, you should have -
• 18+ years of experience across analytics, data science, or quantitative domains, with leadership exposure in banking or financial services.
• Proven experience owning large-scale analytics and data science functions with outcomes
• Ability to operate at scale, influencing senior business, risk, and technology stakeholders.
• Track record of building high-performing analytics teams and delivering sustained business impact.
• Well versed with data fundamentals, hands on and technical depth prefered
• Exposure to model risk management, regulatory expectations, and governance
What's On Offer
• Work in a fast paced and data driven environment.
• Being responsible for organisation level strategic decision making.
Contact: Suraj Jina
Quote job ref: JN-0220XXXXXX
• Lead a dynamic team and work in a fast paced environment
About Our Client
It is an Indian Banking client
Job Description
Key Responsibilities - * Own analytics and data science outcomes for Commercial Banking across lending, collections, customer analytics, pricing, cross-sell, risk models and portfolio management.
• Define and execute the Commercial Banking analytics strategy aligned to business priorities, regulatory expectations, and enterprise data standards.
• Lead 20+ member multi-disciplinary teams spanning analytics, data science, model development, and advanced analytics use cases.
• Drive development, deployment, and lifecycle management of credit, risk, propensity, and decisioning models, ensuring robustness, explainability, and regulatory compliance.
• Embed analytics into frontline and operational systems to enable straight-through processing, automation, and real-time decision support.
• Partner with Commercial Banking leadership to identify, prioritize, and deliver high-impact analytics use cases with clear business ownership and value realization.
• Work closely with Enterprise Data Platform, Technology, and Architecture teams to ensure comprehensive, scalable, reliable, and compliant data access for analytics.
• Establish strong analytics governance covering model risk management, validation, monitoring, documentation, and audit readiness.
• Act as the single accountable leader for analytics talent, capability building, vendor partnerships, and external ecosystem engagement within Commercial Banking.
• Drive adoption of advanced analytics, machine learning, and AI responsibly, aligned with data privacy, security, and regulatory requirements.
The Successful Applicant
As a successful candidate, you should have -
• 18+ years of experience across analytics, data science, or quantitative domains, with leadership exposure in banking or financial services.
• Proven experience owning large-scale analytics and data science functions with outcomes
• Ability to operate at scale, influencing senior business, risk, and technology stakeholders.
• Track record of building high-performing analytics teams and delivering sustained business impact.
• Well versed with data fundamentals, hands on and technical depth prefered
• Exposure to model risk management, regulatory expectations, and governance
What's On Offer
• Work in a fast paced and data driven environment.
• Being responsible for organisation level strategic decision making.
Contact: Suraj Jina
Quote job ref: JN-0220XXXXXX
💡 Quick Summary
Seeking a career-building opportunity? The Head Data Science | Banking | 18 + Years Exp position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
