Manager, CIB Model Development

Job ID: 31722

Location: Bangalore, IN

Area of interest: Corporate & Commercial Banking

Job type: Regular Employee

Work style: Office Working

Opening date: 21 Jul 2025

The role is within the Wholesale model development team and focusses on Credit Risk models used in calculating ECL and RWA for regulatory purposes. The individual should have knowledge and experience in risk model regulations, model development, statistics and mathematics to support the development of such models.

Strategy

• Develop credit risk IRB, IFRS9 and Pillar 2 Stress Testing models for the measurement of PD, EAD and LGD for the wholesale portfolio.
• Support continuous improvement efforts through research on techniques, process and domain.
• Execute end to end model development steps. The responsibility will also include efforts on data preparation, documentation, presentation and maintaining minutes of key decisions made during the development lifecycle.
• Adopting best coding standards and automation to help create coding repositories for various methods used across modelling team.

Business

• Ensure that models are fit for purposes not only for regulatory estimates but also for daily business usage, underwriting decisions, risk appetite decisions and strategy design.

Processes

• Participate in relevant model implementation and its user acceptance test to ensure models are appropriately implemented not only within the direct system environment but also its relevant downstream environments.

People and Talent

• Lead through example and demonstrate the bank’s culture and values.

Our Ideal Candidate

• Master's degree in Quantitative Discipline (e.g. Mathematics, Statistics, Economics, Financial Engineering, Engineering).
• 3- 5 years of relevant work experience in a (Bank or Big 4 Consulting- preferred)
• Knowledge of Regulatory and Risk management (e.g. Basel, IFRS9, Stress Testing, ECL, etc) Experience of working in Wholesale Lending Risk Analytics will be an advantage.
• Strong communication skills.

Software Skills

• SAS, Python, R

Role Specific Technical Competencies

• Statistics
• Proficiency in SAS / R / Python or other statistical package
• Knowledge of Basel / CRR / EBA and IFRS 9 regulations
• Machine learning techniques
• Analytical

• 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

• 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.