Manager - Data Analytics

In this role, you will: 

• Execute various analyses and develop strategies to support business decisions across the customer lifecycle for a particular product/market
• Execute moderate to complex analysis and strategy with proper instructions
• Write efficient codes to process data for the required business problems and 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
• Manage the ongoing monitoring of the fraud detection systems to ensure that they are performing optimally and in line with appetite & manage flash fraud attacks
• Interpret and manipulate large data sets to extract trend and identify issues and risk

To be successful you will:

• Strong analytical skills with business analysis aptitude. Knowledge and understanding of financial-services/ banking-operations is preferred
• 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
• Prior experience in the banking domain would be given preference
• Enthusiasm for proactively seeking, exploring and developing use cases for new data and/or tools/wider industry trends

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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