Job Title - Analyst / Assistant Manager

Department - Compliance Analytics

Location(s) - Kolkata

Reporting to - AVP - Decision Sciences

Grade - 7

Purpose of Department and Purpose of Role

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. Global Risk Analytics (GRA) is a part of GAC that enables HSBC effectively manage and control various types of model risks e.g. Wholesale Credit risk, Market risk, Counterparty Credit risk, Financial Crime risk etc.

Today Financial Crime Risk is a major focus area for all Financial Services Institutions. Being one of the leaders in Global Financial Service Providers, HSBC is no exception. Financial Crime Risk (FCR) is a Global Function within HSBC that brings together all areas of financial crime risk management and is dedicated to implement the most effective global standards to combat financial crime. It enables managing financial crime risk effectively across the bank and continue to strengthen financial crime detection, anti-money laundering, sanctions and anti-bribery and corruption compliance.

FCR Analytics is a component of Group Risk analytics within GAC that assists FCR to design, implement and maintain effective automated controls to monitor transaction activity and screen for sanctioned identities by use of analytical techniques and models. It helps to ensure that transactions carrying the highest risk of money laundering at a Global, Regional, or Country level are subject to enhanced scrutiny. It is also to ensure that all customers, connected parties, staff etc., and transactions (Payments, Securities and Trade Finance) are effectively screened for sanctions exposure.

HSBC is offering an exciting career opportunity in a dynamic and evolving domain of FCR Analytics where you can play a key role in combatting financial crime and deliver outstanding value to our customers and society.

Job Description

The incumbent for this role is expected to

- Participate in projects leading to solutions using various analytic techniques for the Compliance activities through involvement in any or all of the following activities

- Assist in the design, testing of data related to the implementation of new and existing Name screening systems and environments

- Create and execute test plans and present results and conclusions

- Deliver analysis to support best practice Name screening Solutions to deliver business objectives and optimal system performance as a global standard

- Provision of day to day name Screening system analytics support

- Generate insights that will help to improve efficiency of name screening models

- Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality.

- Complete analysis as required and document results and formally present findings to management

- Adhere with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable.

Skills/Experience Required

- Graduation / Post Graduation degree in Statistics, Mathematics, Economics on any other quantitative discipline

- 1 - 4 years of post-qualification experience in Analytics. Knowledge and understanding of financial services preferred.

- Strong analytical skills, ability to organise and analyse multiple, complex data sets to deliver meaningful business outcomes

- Strong technical skills, including working with advanced data sets, ability to produce and interrogate complex analytical data using a selection of pivot tables, advanced database and statistical functions and methods. Must have experience of querying and analysing large/complex data sources using SAS/SQL. Experience in Python/R/Matlab.is a plus.

- Should have knowledge of statistical / Machine learning techniques

- Experience in Text mining / NLP is a plus

- Experience of working with Big data, Hive and Unix is preferred

- Project based business knowledge. Ability to diagnose issues and resolve simple to moderately complex issues.

- Good analytical thought process and aptitude for problem solving.

- Should be adept in using MS Office with exceptional MS Excel Skills.

- Experience and Exposure to visualization technologies such as SAS VA/ Qlikview/ Spotfire/ Tableau will be an added advantage

- Excellent written and verbal communication skills, with proven ability to develop and effectively communicate complex concepts and ideas in business terms to peers and management, and the ability to understand business requirements and convert these into systems requirements

- Knowledge of Sanctions screening systems and their optimisation is a plus

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