Job description

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organisations 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 realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Assistant Vice President (Fraud) - Data Analytics - GAC HASE DATA ANALYTICS.

Principal responsibilities

We are currently seeking a high calibre professional to join our department as MANAGER DATA AND ANALYTICS (RISK).

  • Mine and analyze large structured and unstructured datasets and apply advanced statistical methodology to explore strategic solutions and actionable recommendations to solve business problems.
  •  Keen to take initiatives to translate business problems into analytics-led solutions with appropriate methodology, manage the business application effectively and evaluate the results rigorously.
  • Highly sensitive to state of business and anticipative of business problems and priorities.
  •  Explore the data and conduct quantitative analysis to ascertain root cause of business' issues, identifies opportunities and effective targeting for business growth potential.
  •  Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment.
  •  Sharing knowledge and good practice, working collaboratively with different parties to create a productive, diverse and supportive working environment.
  • Collaborate with Group and offshore centre for different analytic solutions implementation and cross-reference sharing.
  • Conduct analysis and deploy detection control to support Risk Controls covering Fraud / Financial Crime risk / Anti-money laundering / Sales Conduct Risk / Internal Fraud risk mitigation.
Requirements
  • University degree in Statistics, Data Science, Mathematics, Computer Science, Information System or other related discipline.
  • Minimum 6 years' working experience in analytics, modelling and machine learning in banking industry
  • Extensive experience and skill in mining massive volume of data for quick insight discovery
  •  Ability to communicate with impact, with the capacity to ensure complex information is articulated in a meaningful way to a wide and varied audience
  • Effective communication, interpersonal, organizational, problem solving, presentation skill and strong business acumen
  • Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery
  •  Experience in Python, SQL/BigQuery, Tableau/ QlikSense / Looker studio on environments such as Google Cloud Platform (GCP), Feedzai a plus, PYSpark a plus
  • Experience in Financial Crime Risk Detection, Network Analytics Tools, Transaction Monitoring and Screening system is a plus
  •  Experience with machine learning techniques and algorithms in advance

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised. 

You’ll achieve more when you join HSBC.

HSBC is 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. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

 

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