Business: Risk & Compliance
Open positions:1
Role Title: AVP – Decision Science GSC’s
Location (Country / City ): India-Bangalore/Kolkata
Recruiter Name : Imran Waheed
Why join us?
Some Careers grow faster 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.
- The following will provide first a context of where this role positions within the HSBC corporate structure and then explain the requirements of the role.
Global Service Centers (GSC)
- The role being advertised is housed within the work scopes of a Global Service Centers (GSC) which are an integral part of global operations of HSBC. If you are not too familiar with the working of a GSC, the following will help. Employees based in GSCs manage day-to-day functions and processes for the global businesses which includes transactions for our retail and commercials bank such as processing loans, credit cards, insurance, and mortgage applications, opening new accounts, and managing customer enquiries through contact centers and digital platforms, facilitating payments, and managing the import and export transactions that enable customers to protect and grow their businesses through international trade. Other than the direct business contact roles that enable the 3 business verticals of HSBC, GSCs also houses teams which are an integral part of one of the HSBC Functions like Risk and Compliance, HR, Finance, etc. The role being advertised here sits within HSBC GSC India and caters to the Risk and Compliance function.
The Opportunity:
Department Profile
- The GRA team has presence both in and outside of GSCs – the role being advertised sits within the GRA of India GSC and hence commonly referred to as GRA India. GRA has presence in multiple other GSCs and regions with majority stakeholders in UK Headquarters of HSBC.
- The Global Risk Analytics (GRA) Function is accountable for multiple types of Model Risk to the Group. GRA is a quantitative analytics function spanning across Credit risk, Market risk, Operational Risk, Regulatory Compliance Risk. Hence this team works in a high-risk environment in the financial services industry, with the impact from regulators, customers, shareholders, and the media. Understandably, compliance with the letter and spirit of regulation globally has never been more important.
- The GRA team provides analytics support to various group businesses and functions. Typical deliverables include data analysis, providing analytics insights, model development, validation, calibration, strategy development, monitoring and reporting, information management and business intelligence. The deliverables form the basis for strategic planning by the senior management for businesses and enables effective decision making to satisfy business needs and requirements along with addressing unforeseen challenges.
Team Profile
- Within GRA, the available role is within the Wholesale Credit Risk Analytics team responsible for development and maintenance of analytical models that support capital planning for the bank across Basel Pillar 1, Pillar 2, ECL, Stress Testing Capital and also include Climate Risk capital planning.
- In particular, we are seeking people with a keen view on credit risk model development to work on building regulatory models (Basel pillar 1 IRB models) for the following global portfolios of HSBC: Corporates, Financial Institutions, Specialized Lending and NBFI portfolios. The applicant will play the role of a credit risk model developer and will be responsible for overall model risk management for all Global IRB models.
- The applicant will need to support design of modelling solution by collaborating with all stakeholders (cutting across 1st line business, data teams, model development SMEs, second and third line of defence of Risk, regulatory oversight teams) and help progressing the project from GRA India.
- This role reports into Senior AVP / VP for GRA India Wholesale Credit Risk Analytics, who would be leading the initiative from GRA perspective.
What you’ll do:
- The role holder is expected to perform on the following aspects:
Projects and analysis:
- Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models (Basel pillar 1 IRB models) for HSBC Global portfolios in Financial institutions including NBFIs.
- Coordination with internal (within GRA) and external (front line business, regulatory oversight teams, etc.) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance.
- Explore new data sources / methods to improve model performance.
- Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them.
- Clear documentation / summarization of the analytical output.
- Overall model risk management.
Stakeholders:
- Group and Regional stakeholders in GRA space covering:
- Group Head of GRA
- Head of GRA for Global Models
- Regional Heads of GRA
- Regional GRA stakeholders for Wholesale portfolios
- Model sponsor (usually in front line business of GB, CMB or WPB depending on the portfolio)
- Model end users (usually in front line business of GB, CMB or WPB depending on the portfolio) or within the Wholesale Credit Risk function.
Leadership & Teamwork:
- Promote collaboration with Group and Regional teams to achieve business objectives.
- Support training and participate in technical workshops to enhance overall teams’ relevance in the industry.
- Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers to get best output at the first attempt.
What you will need to succeed in the role:
To be successful in this role you should ideally meet the following requirements:
- Masters in any numeric discipline :-
- Stats/Maths
- Engineering (or B-tech with relevance experience)
- Economics
- MS / MBA in Finance
Experience
- 6+ years of experience in banking domain / regulatory risk analytics/ capital management
- Hands-on experience on at least one regulatory model development in python environment would be preferred.
- Prior experience in risk management, regulatory risk model development, model risk management would be preferred.
- Understanding of commercial banking and wholesale related products would be preferred.
Skills
- Highly focused on project delivery, attention to detail
- Excellent written and verbal communication skills
- Hands-on statistical knowledge with scorecard /econometric model development capability
- Strong collaborative, influencing and team building skills
- Strong analytical and problem solving skills, open minded, flexible, pragmatic
- Strong documentation and summarizing skills for senior audiences
- Strong programming skills in Python/SAS and experience of working with large volume of data
- Good estimating and planning skills
- Able to progress multiple tasks at the same time
- Able to work independently, with minimal supervision
- Willing to work with colleagues in other areas/timezones where appropriate
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Link to Candidate User Guide:
(Or)
Go to the below link and type “IND GSC : IJP Applicant User Guide” in search bar. https://hsbchrdirect.service-now.com/hrsp?id=hrdirect_employee_dashboard
You’ll achieve more at HSBC
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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