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Director, Data, Analytics & AI - FR/ERM

Standard Chartered -
Bengaluru, Karnataka

Apply Now

Job details

Permanent
10 days ago

Benefits

Health insurance
Paid sick time

Qualifications

CI/CD
Statistics
Doctoral degree
Computer Science
SAS
Big data
Software deployment
Spark
R
Regulatory reporting
Master's degree
SQL
Analysis skills
Machine learning
Risk management
Natural language processing
APIs
Data science
AI
Leadership
Communication skills
Python
Data Science
Analytics
Design patterns

Full job description

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

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
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:
Ensure alignment between:

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:
Ensure:

Consistent with model:

Risk/AI CoE

owns logic, validation
owns runtime & engineering

Embed analytics into:
Ensure outputs are:

Governance

Define and enforce end-to-end model lifecycle controls:
Ensure compliance with:

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:
Coach teams on:
Build reusable:

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:
Proficiency In:
Deep Understanding Of:
Strong experience in:
Solid understanding of:

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:
Experience operating in matrixed environments (business + CDO + tech)

AI Governance & Responsible AI

Strong understanding of:

Problem Solving & Strategic Thinking

Ability to:

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.

Apply Now

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