Manager , Data and Analytics

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

 HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

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

 In this role, you will:

• Being part of the IWPB Fraud & Mule analytics team the candidate needs to deliver and deploy suit of capabilities in Money Mule space across markets by designing money Mule risk typologies across Customer life-cycle stages (Onboarding, Early Stage, Portfolio) by building Anomaly detection models ,rules and graph network solutions
• The candidate needs to work closely with multiple stakeholders and  teams to drive the solutions to implementation.
• The candidate should exhibit proven expertise in using statistical / ML algorithms for solving diverse business challenges and creating significant business value
• Prior experience in building Machine Learning models  and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. are required
• Prior hands-on experience in  Banking  domain and  Fraud/Financial Crime tools and platforms will be preferred
• Champion adoption of ML Ops practices, including automated model deployment, version control, continuous integration/continuous delivery (CI/CD), and model performance monitoring.

To be successful, you will:

• Minimum 2 years’ hands-on experience applying statistical methods and/or machine learning models to solve complex business problems.
• Bachelor’s or Master’s degree in a quantitative or engineering discipline from a reputed university; financial services or banking operations knowledge is a plus.
• Proficient in programming tools such as Python, pyspark, BigQuery, SQL or SAS
• Demonstrated expertise in building statistical and machine learning models that drive business value. Also knowledge around graph network solutions is a plus.
• Strong business problem-solving skills with a track record of delivering actionable insights
• Experience with ML Ops practices and/or cloud engineering, including deployment and operationalization of models on platforms like GCP, AWS, or Azure.
• Exposure to cloud analytics platforms (e.g., GCP, AWS Redshift, Azure) is advantageous.
• Proactive in identifying and developing new data use cases, tools, and staying abreast of industry trends 

You’ll achieve more when you join HSBC.

www.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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