Assistant Director,Data and Analytics

Some careers shine brighter than others.

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.

In this role, you will:

• Act as an SME/consultant on a functional area, conceptualise analytical solution for the business problem at hand for multiple businesses/region.

• Lead/mentor a team of individuals to provide analytical and strategic solutions to business with clear articulation of recommendations. Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. will be preferred        
• Partner with the business effectively to drive data driven decisions and generate value. Proven expertise in using statistical / ML algorithms for solving diverse business challenges and creating significant business value.

• Good understanding of business domain, functional goals, and the required technical expertise. Owns delivery of high quality analytical solutions for the business stakeholders across one of more regions.
• Partner with business leaders in developing & owning analytical strategies to achieve business goals. Translate key analytical solutions as generic and re-deployable across regions / markets
• Supports innovative analytical thinking & solutions that results into improved business performance. Identifying the training & development needs of the team & self to ensure required upskilling happens to stay relevant.
• Interact with senior management and communicate and synthesize information in a simple form. Strict adherence to the HSBC Core Values, always upholding the HSBC culture.

To be successful you will:

• Minimum 8 years of relevant experience. Bachelor’s or Master’s degree from reputed university with specialization in numerical discipline and concentration in computer science, information systems or other engineering specializations. Minimum 7 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems
• Experience of working within Unsecured Lending, in a role such as Product Manager, Finance, Analytics or Credit Risk. Proven expertise in building statistical and (or) ML models for solving diverse business challenges and creating significant business value

• Good knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SAS, SQL, VBA, Unix, Qlik, Tableau, R, Python, other BI tools & Data technologies across any of the platforms UNIX, mainframe or Windows
• Knowledge of Cloud Computing (GCP), Data Modeling, Adobe Analytics and or exposure to Data Quality assessment and control

• Good knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SAS, SQL, Big query, Python
• Bachelor’s or Master’s degree from reputed university with specialization in numerical discipline engineering specializations. Understanding of financial-services/ banking-operations preferred.
• Business problem solving skills is essential. Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends
• Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. would be a plus but not mandatory.

You’ll achieve more at HSBC 

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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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