Job Description

Job description

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\xe2\x80\x99s 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 (Ex: WPB, CMB, GRA etc.):

Wealth and Personal Banking is our new global business combining Retail Banking and Wealth Management; and Global Private Banking, to become one of the world\xe2\x80\x99s largest global wealth managers with USD1.4 trillion in assets. Our dedicated colleagues serve millions of customers worldwide across the entire spectrum of private wealth, ranging from personal banking for individuals and families, through to business owners, investors and ultra-high-net-worth individuals. We provide products and services such as bank accounts, credit cards, personal loans and mortgages, as well as asset management, insurance, wealth management and private banking, that best suit our customers\xe2\x80\x99 needs.

WPB business team will leverage richer analytics-driven insights to enable a more personalized approach to targeting and engaging with consumers. From location-based offers to improved service delivery, WPB business will use spending patterns, product use, and channel interactions to enable improved experience-driven banking. WPB business to provide employees with contextual data for smarter consumer engagement and provide management with robust analytics (customer interaction, attrition, loyalty, cost analysis and transactional and behavioral analysis) for ongoing decision-making and also for mitigating regulatory risk. WPB analytics team provide support 30+ markets globally

The Opportunity:

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
• Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies
• Independently manage delivery of model development projects by working with business partners across regions / geographies
• Actively contribute in innovative analytical solutioning for improved business performance

What you\xe2\x80\x99ll do:

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 \xe2\x80\x98compliance\xe2\x80\x99 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 optimizing relations with regulators.

Requirements

What you will need to succeed in the role:

• Atleast 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 SAS / R, Python, JavaScript and MS Office tools like Excel & PowerPoint
• Business problem solving skills is essential
• 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
• Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends
• 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
• Proficient in end-to-end machine learning model development (supervised/unsupervised) with clear understanding of the entire model life-cycle. Prior experience with propensity model is a must
• Experience in at least one of the following is desired \xe2\x80\x93 NLP/ recommendation engines / anomaly detection/ feature engineering/ time series forecasting
• Excellent knowledge of Python, SQL & basic knowledge of SAS necessary. R/ Pyspark / Tensorflow experience is a plus
• Basic knowledge of Google Cloud Platform technologies like GCS, BigQuery, DataProc, etc. is a plus
• Previous experience in any banking/financial services related domain preferred
• Experiences on independent project management and mentoring junior members are desired
• Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas

You\xe2\x80\x99ll 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.\xe2\x80\x9d

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***

HSBC