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Requisition Number: 54409
Job Location: Bangalore, IND
Global Grade: Band 5
Work Type: Office Working
Employment Type: Permanent
Posting Start Date: 02/06/2026
Posting End Date: 30/06/2026
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Job Summary
The Director, Advanced Analytics & AI is a techno-functional leader responsible for designing, building, and industrialising advanced analytics and machine learning solutions that enhance the bank’s financial risk management, regulatory compliance, and decision-making capabilities.
The role sits at the intersection of:
Business (Risk / Compliance)
CDO (data products)
Technology (engineering & product ionisation)
and ensures an end-to-end lifecycle from use case discovery to production-grade deployment, aligned to regulatory and model governance expectations
Key Responsibilities
Strategy
Lead identification, prioritisation, and shaping of high-impact analytics & ML use cases across Financial Risk and Compliance domains
Translate regulatory and business requirements into analytical problem statements and solution blueprints
Own business value realisation (efficiency, risk reduction, control effectiveness, insights)
Aligns with CoE mandate to drive value-led, outcome-focused AI delivery.
Business
Define end-to-end solution architecture for analytics and ML use cases:
Feature engineering, model selection, evaluation strategy
Data sourcing and transformation requirements
Establish and enforce design patterns, reusable components, and modelling standards
Reflects role of lead architect + capability owner in CoE model
Processes
Personally lead or closely supervise the development of POCs and prototypes for:
New analytical patterns
Complex or regulatory-sensitive use cases
Validate:
feasibility
performance
explainability
Core expectation: prototype validate scale recommendation
Establish reusable:
feature engineering pipelines
model templates
evaluation frameworks
Drive scaling from POCs to enterprise-grade solutions
Critical to avoid “one-off analytics” and move to repeatable AI products
Define requirements for AI-ready data products with CDO teams:
curated datasets
feature stores
data quality & lineage
Ensure alignment between:
data supply (CDO)
analytics consumption (AI CoE)
Aligns with CoE positioning as bridge between data and intelligence
People & Talent
Lead through example and demonstrate the bank’s culture and values
Key Responsibilities
Risk Management
Work with Technology and Data Engineering teams to industrialise solutions into production
Provide oversight for:
model integration
pipelines, APIs, and deployment frameworks
Ensure:
functional correctness
alignment to business intent
Consistent with model:
Risk/AI CoE owns logic, validation
Technology owns runtime & engineering
Embed analytics into:
credit risk models
stress testing & forecasting
financial crime detection
regulatory reporting analytics
Ensure outputs are:
explainable
auditable
regulator-ready
Governance
Define and enforce end-to-end model lifecycle controls:
model documentation and explainability
validation frameworks
monitoring (drift, bias, performance)
Ensure compliance with:
Model Risk Management
AI governance, fairness, explainability
Regulatory expectations on AI usage
Strong emphasis on governed lifecycle and audit-readiness
Reporting & Stakeholder Communication
Act as primary interface between business stakeholders, CDO, and Technology
Engage senior stakeholders to:
align priorities
drive adoption
manage regulatory expectations
Role explicitly requires strong business-tech bridging capability
Team Leadership & Capability Building
Lead multidisciplinary teams of:
data scientists
ML engineers
analytics specialists
Coach teams on:
model development best practices
regulatory constraints
production readiness
Build reusable:
frameworks
accelerators
experimentation standards
Key Stakeholders
Data & Analytics
GenAI Specialists
AI Operations
Business Units
Technology (AI Engineering Lead; Data Engineering Lead; platform owners)
Functions CDO stakeholders (standards, platform, data foundations)
AI Services
Legal, Privacy, Cyber Security, Model Risk, Operational Risk
Internal Audit / Assurance partners
COO / Finance partners (capacity and investment planning)
AI Solutions Team
Compliance & Governance
Skills and Experience
Technical and Operational Skills
Strong Hands-On Experience In:
Machine Learning (Classification, Regression, Clustering, Anomaly Detection)
Time Series Modelling And Forecasting
Nlp / Text Analytics (For Compliance And Surveillance Use Cases)
Proficiency In:
Python / R / Sql
Big Data Frameworks (E.G., Spark)
Deep Understanding Of:
Model Lifecycle (Development Validation Deployment Monitoring)
Mlops (Ci/Cd, Versioning, Monitoring)
Data Management (Quality, Lineage, Governance)
Strong experience in:
Financial Risk (credit risk, stress testing, exposure analytics)
Regulatory compliance / financial crime analytics
Solid understanding of:
Model Risk Management frameworks
Regulatory expectations on AI, models, and data
Role Specific Technical Competencies
GenAI/agentic concepts
Product & portfolio management (intake, prioritisation, lifecycle, adoption)
AI risk management literacy (validation, drift/monitoring concepts)
Stakeholder management and operating model design
GenAI/agentic concepts
Product & portfolio management (intake, prioritisation, lifecycle, adoption)
Leadership & Delivery Experience
Proven track record of:
delivering analytics solutions from POC to production
leading cross-functional teams across business, data, and technology
Experience operating in matrixed environments (business + CDO + tech)
AI Governance & Responsible AI
Strong understanding of:
explainability
bias/fairness
ethical AI
audit and control requirements
Problem Solving & Strategic Thinking
Ability to:
break down complex business problems into analytical solutions
balance technical sophistication with regulatory and operational constraints
Qualifications
Degree in Data Science, Statistics, Mathematics, Engineering, Computer Science or related field
Postgraduate (Masters/PhD) in quantitative discipline preferred
Extensive programming experience using SQL, Python, SAS, Excel Automation.
Strong analytical mindset with excellent analytical, logical, reasoning and problem-solving skills.
Excellent written and oral communication skills at all levels (i.e. colleagues to senior management) and situations (i.e. one-on-one to presentations)
Exposure to advanced machine learning methodologies is a plus
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
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