Senior Analyst / Manager - Decision Sciences, Gsc’s

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If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

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  Senior Analyst /Manager - Decision Sciences, GSC’s

Why join us?

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. The GRA India team is an arm of the Group GRA Team supporting the latter with its overall commitments to global businesses and to the regulators.

What you’ll do:

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
• Lead 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 IFRS9 and Stress Testing Analytics in Wholesale Credit Risk space. Also the credit model developer will be responsible for liaising with business partners.

Key accountabilities for the role are listed below.

• Help in designing, implementing & enhancing the various Group frameworks through GAC team, related to IFRS9 and help in deployment.
• Manage activities out of GAC supporting Group and the regional GRA priorities into IFRS9 across all regions. Manage direct engagement with key regions by delivering the required regulatory models for regions like HBAP, HBEU, MENAT etc.
• Support project pipeline from GAC within IFRS9 and Stress Testing and provide best in class solutions to Group & key regions on the above analytical problems.
• Innovate, drive standardization and functionally contribute with hands-on work by delivering various Wholesale analytics Global Redeployable solutions out of GAC.

Customers/Stakeholders:

It involves liaising with multiple stakeholders in Group and across Regions in GRA space covering:-

• Lead of GAC GRA Global wholesale Model Development
• Head of Group Wholesale analytics – GRA
• Regional GRA stakeholders for Wholesale
• Model sponsor
• Model end users
• Update above stakeholders through strategic communication on resource planning & key projects progress. Highlight and escalate challenges on time and suggest solutions to mitigate issues.
• Showcase & highlight the GAC capability to stakeholders, uplift team profile and bring in more quality of work whereby delivering key GRA objectives

Leadership & Teamwork:

• Maintain strong working relationships with multiple stakeholders including Group and regions depending on the priority.
• Contribute to GAC wide engagement / operational initiative & showcase leadership beyond boundaries.
• Provide appropriate functional training to team and larger GRA

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