Assistant Director, Wholesale Credit Risk Analytics

HSBC Holdings plc; Kolkata District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

HSBC Holdings plc invites applications for the role of Assistant Director, Wholesale Credit Risk Analytics in Kolkata. The role focuses on building analytical models and monitoring IRB models across wholesale portfolios, requiring collaboration with business and IT teams.

Candidates should have a master’s in a quantitative field, 6+ years of relevant experience, and comfort with LLM tools and cloud platforms. Strong communication and regulatory awareness are essential.

Qualifications

• At least 6 years using statistical concepts or ML to solve business problems.
• Master’s degree in a quantitative field (math/stats/engineering/economics).
• Knowledge of PD, EAD and LGD modelling; experience in development or monitoring.

Responsibilities

• Partner with business leaders to develop analytical models.
• Partner with IT/Data Engineering to create deployment roadmaps.
• Support GRA Wholesale Model Monitoring in IRB model monitoring across portfolios.
• Work on key projects in Model Monitoring and drive changes as needed.
• Reassess operational risks and adhere to internal controls; maintain proper records.

Skills

Statistical concepts & ML

Model monitoring

Business communication

Cloud analytics

Education

Master's degree in quantitative field

Tools

LLM tools

Cloud platforms (GCP AWS Azure)

Job description

Assistant Director, Wholesale Credit Risk Analytics

Location: Kolkata, WB, IN, 700064

Brand: HSBC

Area of Interest:

Role Workstyle: Hybrid Worker

Date: 1 Oct 2026

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Assistant Director, Wholesale Credit Risk Analytics

In this role, you will:

• Decision Sciences job family is structured to address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc. Members of this Job Family are differentiated by their capability of converting a business problem into a quantitative construct, solve it with available statistical / mathematical methods (following the right rigour), engage with IT to implement and finally interpret the model outcomes in business language. The range of business problems may cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. They are required to, as necessary, embed agile & exploratory practices into their approach, justify the choice of appropriate methods to various internal and external reviewers. This talent group is expected to keep themselves apprised of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes. A decision sciences job family member should be able to:-
• Partner with functional business leaders in developing analytical models
• Partner with IT / Data Engineering teams to create deployment road-map
• This role will be responsible for supporting GRA Wholesale Model Monitoring unit in the following capacities:
• Perform Model monitoring activities related to IRB models for all Wholesale portfolios across the Globe.
• The individual is also required to work on key projects within Model Monitoring function and drive changes as on when required.
• The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology.
• The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators.

To be successful you will:

• At least 6 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems
• At least master’s degree in mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study
• Candidate should know PD, EAD and LGD Modelling and should have hand on experience of either development or monitoring.
• Candidate should have exposure to financial statements and understanding of basic financial ratios
• Candidate should be comfortable in using LLM and should have basic understanding of how to use different LLM tools
• Proven expertise in building statistical and (or) ML models for solving diverse business challenges and creating significant business value
• Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. would be a plus but not mandatory
• Past experience in Governance related activities is a plus
• Strong Business communication skills is a must. Ability to confidently interact with senior management and communicate and synthesize information in a simple form. Besides strong written and verbal communication skills the incumbent is also expected to have strong presentation skills

You’ll achieve more at HSBC

Hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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