MANAGER, DATA AND ANALYTICS

Job Title: MANAGER, DATA AND ANALYTICS

• Address business problems with quantitative solutions like building of predictive algorithms / forecasting / scenario simulations etc.. 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 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. The role holder would be required to, as necessary, embed agile & exploratory practices into their approach as needed, and retain the flexibility to change track to adopt other solutions based on changed scenarios, to deliver on effective results. 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. The talent group can also be tapped into for providing solutions for varying areas including improving existing processes, technology, and approaches by embedding exploratory & analytics & taking it forward.
• Fraud  & Nnon Financial Risk Analytics Team at GAC is an integral part of the GAC Fraud & NFR Management Services providing cutting-edge data-driven insights to reduce the Fraud losses,non financial risks and drive operational efficiency and improve customer experience. The GAC Team as part of the Global Data & Analytics team forms the information basis for strategic planning by the senior management for fraud & NFR mitigation and enables effective decision making to satisfy business needs and requirements along with addressing unforeseen challenges. The role is an  Individual Contributor role and responsible for functionally delivering the Fraud Strategic initiatives across markets in line with the vision of adopting best in class fraud analytics solutions and allowing the business to make the appropriate strategic decisions to reduce fraud land non financial risk
• Fraud Analytics Team at GAC is an integral part of the Fraud  Management Services providing cutting-edge data-driven insights to reduce the Fraud losses, and drive operational efficiency and improve customer experience. The GAC Team as part of the Global Data & Analytics team forms the information basis for strategic planning by the senior management for fraud  mitigation and enables effective decision making to satisfy business needs and requirements along with addressing unforeseen challenges. The role is an  Individual Contributor role and responsible for functionally delivering the Fraud Strategic initiatives across markets in line with the vision of adopting best in class fraud analytics solutions and allowing the business to make the appropriate strategic decisions to reduce fraud

Governance and Committee Memberships (membership of ExCos, Risk Management Meeting)

• WPB Fraud Team is responsible for the engineering, industrialisation and delivery of analytical products to help mitigate financial crime in all the countries HSBC operates in.
• Working across multiple fraud risk types our work helps to keep our customers and the communities we operate in safe from financial crime.
• With a passion for all things data our innovative multi-disciplinary team works with cutting technology to deliver products that solve real business problems. Our team consists of agile, create and solution driven individuals that want to use big data, analytics and machine learning to detect and prevent financial crime.
• You will work closely with stakeholders and other functions within WPB and WSB and Fraud to develop innovative and actionable models which help to manage fraud risk. The solutions we deliver need to manage risk effectively, be commercially focused, scalable across our many markets and lines of business and stand up to the rigors of internal and external scrutiny and review.
• Support the development and deployment of models and analytical products to manage and mitigate financial crime risk
• Develop new analytical practices in partnership with other Research & Analytics functions.
• Manage model risk through the application of controls and standards
• Interpret and manipulate large data set to extract trends and identify issues and risk
• Use data visualization techniques to present complex ideas and provide self-service analytics

In this role, you will:

Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.)

• Execute various analyses and develop strategies to support business decisions across the customer lifecycle for a particular product/market
• Provide support for analytical/strategy projects.
• Complete analysis as required and document results and present findings to stakeholders
• Execute moderate to complex analysis and strategy with proper instructions
• Write efficient codes to process data for the required business problems
• Ability to convert business problem to an analytical problem.
• Identify business problems/new opportunities to drive higher business value. Diagnose and resolve moderate to complex analytical problems
• Providing high-quality analysis and strategy recommendations to business problems.
• Manage delivery within agreed timelines and as per agreed quality standards. Also drive business benefit through self-initiated projects
• Learn new skills (domain / technical) and apply to solve business problems as required.
• Strict adherence to the HSBC Core Values.
• Being part of the IWPB Fraud & Mule analytics  team the candidate needs to deliver and deploy suit of capabilities in Money Mule space across markets by designing Money Mule risk typologies across Customer life-cycle stages(Onboarding,Early Stage,Portfolio) by building Anomaly detection models ,rules and graph network solutions .The candidate needs to work closely with multiple stakeholders and  teams to drive the solutions to implementation. The candidate should exhibit  :
• Proven expertise in using statistical / ML algorithms for solving diverse business challenges and creating significant business value
• Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. will be preferred
• Prior hands-on experience in  Banking  domain and  Fraud/Financial Crime tools and platforms will be preferred

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.

Leadership & Teamwork

• Ability to work effectively in a team environment
• Coaching / training new team members.
• Sharing best practices within the team.

To be successful you will:

Skills & Experience:

• 3+ years of hands-on analytics experience solving complex data and business intelligence problems.
• Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of data modelling and BI visualization.
• Strong and independent project management skills.
• Ability to confidently interact with senior management and communicate and synthesize information in a simple form.

Must have:

• BI & visualization tools experience on LookML scripting/Looker Dashboard development
• Scripting knowledge in SQL/Big Query or Python.
• Strong visualization, Dashboarding and storytelling.
• Advance knowledge of excel.
• Good communication skills.

Good to have:

• Contact Centre industry/WFM knowledge.
• Basic understanding of GCP
• Good to have ETL/python scripting knowledge
• Knowledge on JIRA and Confluence
• Banking Products knowledge.
• VBA
• Knowledge of Google Cloud Platform for managing large dataset and designing relational and dimensional data models for BI

Knowledge & Experience / Qualifications (For the role – not the role holder.  Minimum requirements of the role.)

• We're a multi-disciplinary team and value experience from a wide variety of industries and specialisms. If you have a background in analytics, big data, software engineering, devOps or data management we'd love to hear from you. We're looking for people with skills and experience in:-
• Degree level educated (or relevant work experience) in Data Science, Computer Science, Statistics, Mathematics or any other quantitative discipline
• Advanced analytical techniques e.g. regression analysis, predictive analysis, data mining, machine learning
• Experience of one or more of the following: SAS, Python, Spark, SQL/HQL,R, Scala, Google Cloud Platform (GCP) , AWS.
• Domain experience in financial crime would be an advantage but not essential (Fraud, Anti Money Laundering, Terrorist Financing, Anti-Bribery & Corruption, Sanctions)
• Strong analytical thought process and aptitude for creative problem solving.
• Agile methodologies

Hsbc.Com/Careers

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.”

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***