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. It 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 financial crime detection (fcd) team is involved in providing best-in-class analytical solutions to the financial crime function used across latin america lines of businesses and countries which are adhered not only to a number of internal frameworks, policies and controls but also governed by local regulations. The team caters to both strategy and operations aspect of managing financial crime across lam.
*main activities*
- support the on-going conceiving, development, testing, and validation of hbmx risk assessment models to improve the management of financial crime risk.
- be responsible for the identification of emerging risk and issues through use of the risk assessment models.
- ensuring that the models developed within the function continues to be optimised and operating within the risk appetite expectations.
- 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.
- desing and implementation of new internal processes to allow team efficiencies in business-as-usual activities, identifying areas of innovation in model development.
- the nature of the role requires intermediate - advance mathematical and programming background oriented to data analysis.
Requirements- advanced knowledge in one or more of the following areas: programming, financial crime models, data analytics, data science, ai/machine learning methodologies, supervised/unsupervised learning, data visualization and statistical model development techniques.
- proven experience of developing models throughout the full model lifecycle.
- highly required experience with statistical software / programming language focused on data analysis and modelling ( sas, python and r)
- experience of presenting recommendations to senior management.
- ability to present complex statistical concepts and results to non-technical audiences in a persuasive and compelling manner.
- ability in problem solving, innovation and generation of new ideas.
- work in a rapidly changing regulatory environment and with a dynamic model delivery schedule, often within short timescales.