HSBC Group

Open positions:1

Global Career Band: 5IC

Why join us?

The Financial Crime (FC) Detection & Digital Enablement CoE is an integral part of the HSBC group’s Financial Crime function. The CoE helps detect and mitigate FC Risks across HSBC group and regions through conceptualization, development, deployment and maintenance of FC Detection solutions. FC risk is a non-financial risk that includes fraud, money laundering, bribery and corruption, sanctions violations, terrorist financing, proliferation financing, export control violations and tax evasion. Various models are needed for FC detection in HSBC, then model management or model governance are required to follow model risk management requirements while the use of them.

The Opportunity:

This role is responsible for providing professional analytics support on model governance process pre and post model go live. They provide provision of analytics to assess controls for data quality management, model methodology and design, model performance and call out if any model limitation, maintain the high-quality model documentation in model inventory, forecast and recommend model or control amendments to robustly manage model risk.

What you’ll do:

• Proactively manage model risk to ensure local / regional models comply with all relevant requirements.

• Provide subject matter expertise in the design, development and maintenance of compliance business analytics and models.

• Assure that the model deployed in the region are fit-for-purpose by, where required, undertaking testing and/or validation and providing constructive challenge to the Global FCD teams.

• Deliver analytical work on regional initiatives (data quality reviews and enhancement, model calibration, development and implementation of local deviations/specificities when/where needed).

• Maintain relationships with regional stakeholders providing inputs to improve the performance of the models (EIR, Complex and Major Investigation, Fraud Risk, IMR, etc.).

• Deliver bespoke analysis and MIs helping Compliance and the Business take appropriate risk based decisions.

• Support improvements to the systems and data infrastructure supporting deployment of the Compliance models.

What you will need to succeed in the role:

• Degree holder or above in Finance, Mathematics, Risk Management, Statistics, IT or a related field.

Experience

• Experience in the banking industry, ideally more than 4 years; additional experience in management consulting and/or IT business analysis and project management welcomed.

• Previous experience in Financial Crime / Fraud not required but a plus.

Skills

• Excellent English writing skills, including the ability to compose clear model documents.

• Hands on experience as analyst using any data analysis tool i.e. Python, SAS, SQL, Ali Cloud, Big Data (Hadoop), Visualization tools (Tableau, Qlikview, Spotfire) and Excel (advanced).

• Hands on experience as analyst with the ability to organize and analyse multiple, complex data sets, to draw clear business conclusions and present them clearly to non-scientific stakeholders.

• Sound judgment and problem solving skills, ability to think laterally.

• Team player able to work in a dynamic and multinational culture and cope with high pressure.

• Experience or strong demonstrable interest in recent machine learning techniques.

Please refer the Candidate User Guide in the below link to understand your own journey as a candidate.

https://hsbchrdirect.service-now.com/esc?id=kb_article&table=kb_knowledge&sysparm_article=KB0184596&sys_kb_id=712b5f041b1f82908d3a0fe7ec4bcbd6

You’ll achieve more at HSBC

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.

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 HSBC Electronic Data Processing (Guangdong) Ltd. GSC China***

(* The information contained in this job description is a true and accurate reflection of the job as specified.)