Assistant Director, Data and Analytics

Some careers shine brighter than others.

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 & exploration practices into their approach, justifying 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 approved of latest developments and industry practices around emerging methodologies, techniques etc. and bring those in-house by applying them for better outcomes.

We are currently seeking an experienced professional to join our team in the role of Assistant Director, Data and Analytics

In this role, you will:

• 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. Prior working knowledge of Fraud Analytics and Fraud Messaging to spearhead the initiatives

To be successful you will:

• Proven experience (preferably from Banking &/ Financial domain) of using quantitative concepts to solve complex business problems.
• Background in quantitative disciplines like - with a bachelor’s degree(minimum) in the relevant fields of study.
• Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of financial services/ banking-operations is a must
• Strong knowledge of Visualization, Analytical and ML concepts like modeling, forecasting, segmentation.
• Strong project management skills. Proven track record in dynamic/changing banking environments and matrix structure
• Ability to nurture strong relationships with stakeholders, both internally and externally
• Exceptionally strong organizational, problem-solving & inter-personal skills. Ability to communicate clearly across various levels
• Besides strong written and verbal communication skills the incumbent is also expected to have strong presentation skills.

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 work 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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