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 - Data and Analytics.
Principal responsibilities
Focus on driving efficiency gains and enhancement of processes.
Partner with the business effectively to drive data driven decisions and generate value.
Also drive business benefit through self-initiated projects.
You will work closely with stakeholders and other functions within WPB and Fraud to develop innovative and actionable models which help to manage fraud risk. The solutions we deliver need to manage risk effectively, be commercially focused, scalable across our many markets and lines of business and stand up to the rigors of internal and external scrutiny and review.
Support the development and deployment of models and analytical products to manage and mitigate financial crime risk.
Manage model risk through the application of controls and standards.
Interpret and manipulate large data set to extract trends and identify issues and risk.
Use data visualization techniques to present complex ideas and provide self-service analytics.
Apply relevant analytical methods / algorithms to get actionable insights from HSBC's internal (both structured and unstructured) and external data sources.
Partner with IT / Data Engineering teams to create deployment road-map.
Provide actionable solutions with clear articulation of recommendations for the business stakeholders across geographies.
Independently manage delivery of analytics projects by working with business partners across regions / geographies.
Work in an agile model in a cross functional set-up.
PhD or Masters Degree level educated (or relevant work experience) in Data Science, Computer Science, Statistics, Mathematics or any other quantitative discipline
Strong analytical skills with business analysis experience or equivalent. Indepth knowledge and understanding of financial-services/ banking-operations is a must
Proven leadership track record in dynamic/changing banking environments and matrix structure
Ability to nurture strong relationships with stakeholders, both internally and externally.Strong project management skills
Exceptionally strong organizational, problem-solving & inter-personal skills. Ability to communicate clearly across various levels
Advanced analytical techniques e.g. regression analysis, predictive analysis, data mining, machine learning
Experience in advanced analytical techniques e.g. regression analysis, predictive analysis, data mining, machine learning like Random Forest, XGBoost, LightGBM, Decision trees
Experience in one or more of the following tools: SAS, Python, Spark, SQL, Google Cloud Platform (GCP)
Experience designing and refining prompts for LLMs (e.g., GPT, Gemini) to automate business tasks like summarization
Domain experience in financial crime and Risk would be an advantage (Fraud, Anti Money Laundering, Terrorist Financing, Anti-Bribery & Corruption, Sanctions)
Strong analytical thought process and aptitude for creative problem solving.
Agile methodologies.
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.