-Job description**Role purpose**
Financial Crime (FC) focuses on the specific financial crime threats the firm faces now and in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the harms associated with financial crime. FC harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. FC is also partnering with other areas in Compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance.
The LAM AML model team is responsible for leading the development and monitoring of AML analytical models aimed to manage the harms associated with financial crime. The team is also responsible to ensure that the group AML models are integrated appropiately in the local control framework and to coordinate the adherance to the model governance policy. The nature of the role requires analytical skills, a strong problem solving ability, and effective communication with stakeholders in the line of business, IT and other functions in FC.
**Main activities**
- The nature of the role requires intermediate - advance mathematical and programming background oriented to data analysis
- Conceiving, development, testing, and validation of models to improve the management of financial crime risk.
- Identify emerging risk and issues using quantitative models and statistic methodologies.
- Ensuring that the models developed within the function continues to be optimised and operating within the risk appetite expectations.
- Ensure effective stakeholder engagement and user interaction at all levels leading to informed and well-judged trade-offs and priority decisions to maximise business benefit.
- Provide model users, senior management, audit & regulators with confidence that the models and tools developed, maintained, and used within the function are compliant with internal and regulatory expectations and fit for the intended purpose.
- Follow up of internal and external findings within risk appetite (Internal Observations, MSII, IMR, Assurance, Audit, External Regulators)
- Conduct a well written documents and reports (e.g., structure, language, clarity, precision, and articulation of observations) to ensure an add value to the business communication.
- Design and implementation of new internal processes to allow team efficiencies in business-as-usual activities, identifying areas of innovation in model development
- Liaison with other Integral development teams to ensure consistency across HSBC subsidiaries.
Requirements- Advanced knowledge in one or mor of the following areas: Financial Crime Models, Data Analytics/Data science, AI/ML methodologies, supervised/unsupervised learning, data visualization and statistical model development techniques.
- Proven experience in developing models throughout the full model lifecycle.
- Strong English language skills (written and spoken) and fluency in local language (written and spoken) preferred
- Strong interpersonal skills with the ability to communicate technical matters effectively with senior leaders in Compliance and business sponsors.
- Proven ability to rapidly develop matter expertise in a range of technical and non-technical areas.
- Sound judgmental skills to identify and resolve problems.
- Experience of managing resources using appropriate communication, delegation and planning skills.
- Highly motivated self-starter with proven ability to work collaboratively within teams and to deliver on time.
- Excellent decision making and problem-solving ability.