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. 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.

We are currently seeking a high calibre professional to join our team as a Senior Data Scientist- Payment Fraud Machine Learning Lead.

The CIB Business Risk Analytics team is a global team of data scientists, analysts, and engineers, who use advanced analytics techniques (including but not limited to: machine learning, web scrapping, generative AI) to proactively identify and address thematic risks (e.g., payment fraud, money laundering) across multiple geographies through model development, data scrapping, or data analysis, using internal and external data and cloud and on prem infrastructures. We are looking for a candidate to lead a data science team to systematically identify payment fraud.

Principal Responsibilities 

• Provide thought leadership and solutions for complex technical problems
• Provide subject matter expertise in a one or more technological domains (network analytics, natural language processing, clickstream data)
• Provide leadership / mentorship to other team members
• People manager responsibility for other data scientists in the team
• Develop innovative and impactful data-based tools and models for fraud detection and risk mitigation, continuously evaluate the effectiveness of models and make recommendations for improvements
• Extract, transform, and load (ETL) from various sources, ensuring data quality, accuracy and integrity for fraud detection. Design and optimize data pipelines, ensuring efficient data extraction, storage and processing
• Conduct in-depth analysis of complex transactional and demographic datasets to identify patterns and potential fraud indicators. Utilize network analysis techniques to uncover hidden relationships, linkages and patterns among entities involved in fraudulent activities
• Extract and integrate data from external sources, such as public databases, social media platforms and third-party vendors to enhance fraud detection capabilities
• Contribute to innovation initiatives and overall analytics strategy under the global fraud analytics head
• Advocate and promote the use of data science to drive fact-based activity and behaviour in CMB globally
• Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback
• Work with and leverage solutions and approaches developed by the wider HSBC Analytics community
• Keeping up to date on the latest advanced analytics and big data technologies. Engage with academia on shared research topics related to fraud

• Proficiency in using Python, SQL, or similar analytically oriented programming languages
• University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD or Master degree is highly preferred
• 10+ years of relevant experience, preferably in banking and financial sector, or in fraud detection
• In depth knowledge and experience with machine learning techniques and algorithms. Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc.
• Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation
• High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery
• Open minded and self-motivated with good communication and interpersonal skills as well as strong sense of responsibility
• Knowledge of SAS and good experience with data visualization tools such as Qlik or Tableau will be a strong plus
• Experience in commercial bank is a plus but not necessary
• Interested in staying up to date on the latest advanced analytics and big data technologies. Possess good business sense of their application in the commercial banking business
• Attention to details, with good communication and presentation skills
• Solid technical skills in MS Excel and PowerPoint. Knowledge in other business intelligence or analytics tools will be advantageous

You’ll achieve more when you join HSBC. 
http://www.hsbc.com/careers

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.

Issued by The Hongkong and Shanghai Banking Corporation Limited.