Assistant Director, DAAI

Job Title: Assistant Director, DAAI

Purpose of the role  

• Address business problems with quantitative solutions like building 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 effective results. This talent group is expected to keep themselves appried 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:

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

• Act as an SME/consultant on a functional area, conceptualize 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
• Partner with the business effectively to drive data driven decisions and generate 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:

Skills & Experience:

• Minimum 8 years of hands-on analytics experience solving complex business problems using data. PhD or Masters degree from reputed university in statistics, economics or any other quantitative fields
• Strong analytical skills with business analysis experience or equivalent. Indepth knowledge and understanding of financial-services/ banking-operations is a must
• Proven leadership track record in dynamic/changing banking environments, ability to navigate through organisational challenges. Ability to nurture strong relationships with stakeholders, both internally and externally
• Strong project management skills. Exceptionally strong organizational, problem-solving & inter-personal skills. Ability to communicate clearly across various levels. Knowledge of Python and Insurance business is mandatory

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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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