Assistant Vice President | Decision Sciences GSC|s

Business: Global Risk Analytics, Global Analytics Center

Open positions:1

Role Title: Assistant Vice President - Decision Sciences GSC’s

Global Career Band:5

Location : Kolkata

Recruiter Name : Sunny Dogra

Global Analytics Center (GAC):

A mature analytics capability, the Global Analytics Center (GAC), is a hub of advanced analytics competency, providing high-end analytics services across global businesses and global functions. Set-up in India in 2004, GAC has matured into a shared Centre of Excellence comprising 2000+ professionals with offices in Bangalore, Kolkata, Guangzhou and Krakow. The work done in GAC forms a vital input towards for strategic planning by the senior management for businesses and enables effective decision making along with addressing unforeseen challenges.

GAC is an innovative community leveraging the best of data and analytics capabilities to enable smarter decisions and drive profitable growth. Rightly positioned in the two major intellectual hubs of India, Poland and China, it attracts a rich mix of resources across business consulting, data analysts, decisions scientists and advance analytics professionals. Being in these locations also enables HSBC to leverage talent from the rich academic and start-up ecosystem to keep up to date with the latest in the industry.

Today, the GAC team generates value across the group through a wide variety of data and analytic solutions and related business consulting. GAC has become a one-stop shop for the group’s analytic needs leading the integration of analytics and data-driven decisions not only in traditional areas such as Risk, Retail, Wholesale, Private & Commercial Banking but also in new domains such as Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management

Global Business/Global Function – Global Risk Analytics:

The Global Risk Analytics (GRA) Function is accountable for Model Risk to the Group. GRA is a quantitative analytics function spanning across Wholesale risk, Market risk, Operational Risk, Regulatory and Financial Crime Compliance risk. Given this is a high risk environment in the financial services industry, with the impact from regulators, customers, shareholders and the media is at an exceptional level, meaning that compliance with the letter and spirit of regulation globally has never been more important.

Global Business/Global Function – Global Analytics Centre:

Global Analytics Centre (GAC) 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. The GAC GRA team is an arm of the Group GRA Team supporting the latter with its overall commitments to global businesses and to the regulators.

Job Description:

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 owning & developing analytics applications for higher business value
• Translate key analytical solutions as generic and re-deployable across regions / markets
• Design, architect and manage analytics processes and infrastructure and define initiatives with senior management
• Can see the 'bigger picture' and assess relationship between recommended solutions and business performance
• Champions changes by partnering with Global / Regional leaders and establish analytics driven business model
• Own delivery of high quality analytics solutions for the business stakeholders across geographies
• Work in a cross functional team, in an Agile working environment for rapid prototyping, developing and implementing analytics led applications / services

We are seeking Credit Risk Model developer to work on building, maintaining and enhancing regulatory models in Wholesale Credit Risk Analytics supporting France/UK adhering necessary governance requirements. Also the credit model developer will be responsible for liaising with business partners.

The role holder will be independent contributor. Key accountabilities for the role are listed below.

Management of Risk/Internal Controls/Compliance:
• 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.

The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term ‘compliance’ embraces all relevant financial services laws, rules and codes with which the business has to comply.

This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators.
Requirements

What you will need to succeed in the role:

Skills/Experience Required:
• 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
• Excellent documentation, presentation and communication skills – written and verbal. Ability to develop and effectively communicate complex concepts and ideas
• Good exposure to credit model methodologies data requirement for AIRB and IFRS + modelling
• Knowledge of AIRB/IFRS+ PD, LGD or EAD model development
• Proven ability to take ownership of and solve complex data related issues; Business problem solving skills is essential
• Strong database and credit risk systems experience
• Advanced coding skills in SAS, Python, R, SQL etc. would be essential
• Good understanding and interpretation of regulatory rules is essential
• Ability to work as part of a team with key customers and stakeholders
• Collaborate with partners across business groups.
• Knowledge and exposure to cloud analytics platform such as AWS, GCP, Azure etc. would be a plus but not mandatory
• Strong business acumen with out-of-the box thinking to drive improved business performance
• Strong stakeholder management skills and seamless delivery of analytics initiatives across markets

Key Accountabilities:
• Credit risk methodology development within HBEU (HBCE/HBUK) GRA team
• Follow the global model standards when supporting model development, validation and monitoring.
• Supporting AIRB model development, stress-testing, and IFRS + methodology development
• Developing a good understanding of risk data flows from customer and product systems through to the finance and regulatory reporting systems
• Translating and presenting technical work into more acceptable form in order to get the stakeholders' buy-in

Additional Information /Specific Skills (If Any):
• Prior knowledge of Credit Risk modelling would be a plus
• Promote collaboration with Group and Regional teams to achieve business objectives
• Support training and participate in technical workshops
• Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers

Want to apply?
• All applicants must have successfully completed their probation period.
• Employees must meet performance and behavioral standards as defined in the policy
• Applicant should not be on a corrective action plan/ disciplinary action in the last 6 months or any other performance action as on the date of application.
• All existing applicants should have served at least 18 months and should have successfully completed respective learning curve tenure.
• Application form should be submitted along with the current CV
• All the completed applications should be submitted online by 11:5+ pm on the closing date.

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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, ****** 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.”