Assistant Director, Wholesale Credit Risk Analytics

HSBC; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

HSBC is seeking a decision sciences professional in India to develop statistical and machine learning models that solve complex business problems across wholesale portfolios. You will partner with business leaders and IT teams to deploy analytics solutions and monitor models, while aligning with governance and risk controls.

A strong quantitative background and communication skills are essential. You will contribute to model development and monitoring initiatives, work with cloud platforms, and

Qualifications

• Master’s degree in quantitative field required.
• 6+ years of experience with statistical methods or ML.
• Proficient in Python, SAS, JavaScript; skilled with MS Office tools.

Responsibilities

• Develop analytical models to solve business problems.
• Collaborate with IT/Data Eng to deploy models.
• Monitor IRB models for wholesale portfolios globally.
• Engage with senior management to present findings clearly.
• Support governance and internal control requirements.

Skills

Statistical concepts

Machine learning

Python

SAS

JavaScript

MS Office

Excel

PowerPoint

PD modelling

EAD modelling

LGD modelling

Cloud analytics

Education

Master's degree (Math/Statistics/Economics/Engineering/CS/Management)

Tools

GCP

AWS Redshift

Azure

Job description

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.

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
• Proficiency in Python, SAS, JavaScript and MS Office tools like Excel & PowerPoint
• 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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• Issued By HSBC Electronic Data Processing (India) Private LTD***