Job Description

Job title: Manager – DAAI

• 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)

• Being part of the IWPB NFR analytics team the candidate needs to deliver and deploy suit of capabilities in Non Financial Risk space across markets by designing AML risk scenarios , tax evasion & bribery and corruption scenarios , risk scenarios of account usage outside appetite by building Anomaly detection models and designing Sales Conduct risk typologies based on wealth products anomalous sales behavior .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. would be given preference
• Prior hands-on experience in Banking domain and Fraud/FCR /Conduct detection tools and platforms will be preferred

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:

• Minimum 2 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems
• Bachelor’s or Master’s degree from reputed university with specialization in numerical discipline engineering specializations. Understanding of financial-services/ banking-operations preferred.
• Good knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SAS, SQL, Big query, Python
• 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

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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, 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.”

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