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Salary
≈ $57k – $138k per year (Estimated)
Location
In office (India)
Seniority
Architect · 7+ years exp

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, Standard Chartered PLC is a major international banking and financial services enterprise. The institution provides a comprehensive suite of personal, commercial, private, and corporate banking solutions, alongside wealth management, trade finance, and global markets capabilities. Concentrating its operations across dynamic growth markets in Asia, Africa, and the Middle East, it functions as a primary cross-border financial bridge and trade infrastructure provider connecting emerging and developed economies worldwide.

Job Summary

This position is for an Associate Director with an advanced degree in a quantitative discipline; requires experience and proficiency in areas of statistics, applied mathematics, SAS/Python programming language and a good understanding of retail banking / small business lending businesses. The individual will use these skills in the development of Fraud Risk Models and Fraud Risk Analytics for Retail Portfolios including cards, personal loans and digital.

Key Responsibilities

Strategy

  • Development of Fraud Risk models for Retail Portfolios across application fraud, cards fraud, digital payment fraud and anti-money laundering.
  • Developing statistically derived predictive models, perform decision tree-based customer segmentation & profiling analyses, assist business implementation of Fraud Risk models to support Standard Chartered retail businesses across the globe.
  • Support Fraud Risk analytics related to Retail Portfolios including rules development and augmentation

Business

  • Achieving assigned full year objectives as per annual P3 document
  • Enhancing relationship with stakeholders by providing analytical support

Processes

  • Ensure adherence to all internal and external regulations
  • To embed Operational Risk monitoring as an integral part of the business process.

People & Talent

  • Mentor analysts and provide appropriate advice wherever required during analytics deliverables

Risk Management

  • Monitor all major risk issues and concentrations. Where appropriate, direct remedial action and/or ensure adequate reporting to Risk Committees

Governance

  • Promote an environment where compliance with internal control functions and the external regulatory framework is a central priority of the business

Regulatory & Business Conduct

  • Display exemplary conduct and live by the Group’s Values and Code of Conduct.
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
  • Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] *
  • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

  • Credit & Fraud Risk Heads
  • Portfolio teams
  • Model validation team
  • Model risk policy and governance team

Skills and Experience

  • Business - Products and Processes
  • Data Science, Model Development & Analytics
  • SAS/SQL/Python Proficiency
  • Manage Conduct
  • Manage Risk

Qualifications

  • Bachelors / Advanced (Masters or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline
  • Good understanding of retail banking / small business / consumer finance products and business life cycles (e.g. sales, underwriting, portfolio management, marketing, collections)
  • 7+ years of in-depth experience in hands-on Statistical Model Development in fraud risk for retail banking / small business / consumer finance portfolios
  • Experience in Fraud Detection Modeling using machine learning algorithms to handle classification data with skewed class proportions
  • Proficient in statistical programming skills in SAS or Python, strong analytical skills and understanding of quantitative and statistical analysis
  • Hands-on experience in mining data and understanding data patterns
  • Experience in directly interacting with Business and exposure to international markets will be 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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