Assistant Director, DAAI

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

• Proven experience as a Product Owner in an Agile/Scrum environment. A strong technical aptitude and the ability to communicate effectively with engineers.
• Excellent stakeholder management and communication skills, with a talent for translating business needs into technical requirements. A data-informed mindset and a passion for solving complex problems.
• An interest in marketing, user experience, and the technology that drives them. Broad familiarity with the Martech stack and its various components

• Familiarity with cloud platforms like Google Cloud Platform (GCP) and the associated data services (pub/sub, dataqflow, bigquery, looker).
• Hands-on experience with Tag Management systems (e.g., Tealium). A background in Digital Analytics platforms (e.g., Google Analytics). Exposure to Customer Data Platforms (CDPs), such as Lytics.
• Involvement in projects related to Personalisation or marketing automation.

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.
• Experience of working within Unsecured Lending, in a role such as Product Manager, Finance, Analytics or Credit Risk
• 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
• Ability to comprehend intricate and diverse range of business problems and analyse them with limited or complex data and provide a feasible solution framework. Experience on working on Data/Information Management projects of varying complexities.

You’ll achieve more at HSBC

Hsbc.Com/Careers

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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