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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.
In this role, you will:
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Provide support for analytical/strategy projects. Complete analysis as required and document results and present findings to stakeholders
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Execute moderate to complex analysis and strategy with proper instructions. Write efficient codes to process data for the required business problems
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Identify business problems/new opportunities to drive higher business value. Diagnose and resolve moderate to complex analytical problems
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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:
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Proven expertise in using statistical / ML algorithms for solving diverse business challenges and creating significant business value
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Knowledge and exposure to cloud analytics platforms such as GCP, AWS Redshift , Azure etc. will be preferred
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Prior hands-on experience in Banking domain and Fraud/Financial Crime tools and platforms will be preferred.
To be successful you will:
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3+ years of hands-on analytics experience solving complex data and business intelligence problems.
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Strong analytical skills with business analysis experience or equivalent. In-depth knowledge and understanding of data modelling and BI visualization.
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BI & visualization tools experience on LookML scripting/Looker Dashboard development, Scripting knowledge in SQL/Big Query or Python, Strong visualization, Dashboarding and storytelling, Advance knowledge of excel.
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Contact Centre industry/WFM knowledge, Basic understanding of GCP, Good to have ETL/python scripting knowledge, Knowledge on JIRA and Confluence, Banking Products knowledge, VBA, Knowledge of Google Cloud Platform for managing large dataset and designing relational and dimensional data models for BI
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process and aptitude for creative problem solving.
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Agile methodologies
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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