-job description
*role purpose*
financial crime (fc) focuses on the specific financial crime threats the firm may face now or in the future, pioneering the techniques and technology to protect our business, customers, and the many communities in which we operate from the risks 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 partners with other areas within compliance to build strong monitoring for a robust and efficient regulatory approach.
The mx/lam customer dynamic risk assessment manager provides support to various business groups and functions, is involved in data analysis, model and strategy development and implementation, reporting and data management. These analyses shape the information basis for strategic planning by the senior management for businesses and enables effective decision making to satisfy business needs and requirements, along with addressing unforeseen challenges.
*main activities*
- data quality analysis, segmentation, analytical insights.
- trend analysis and targeted solution design to reduce noise in transaction monitoring model(s).
- design and implementation of basic and advanced contextual risk models for better and effective transaction monitoring.
- perform regular analysis of data and provide multi-dimensional views of the data to support financial crime detection; design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level.
- leverage consulting skills to identify process improvement opportunities and demonstrate the value proposition of analytical solutions amongst stakeholders.
- perform research and discovery on available data to come up with new and enhanced analysis, leverage advanced statistical/ math modelling where required to provide future state analysis and participate in proactive strategy building.
- maintain regular communication with business to understand changes in requirements, feedbacks, and recommendations.
- ensure adherence with all the applicable compliance policies (data security policy, aml, operational risk, functional manual, group compliance manual, audit recommendations, internal control requirements, regulatory guidelines etc.) and business standards of organization as applicable. Take timely action on audit comments and be able to demonstrate compliance with internal control
requirements
- bachelor´s degree in computer science, statistics, mathematics, economics or any other quantitative discipline.
- experience of working in analytics (bfsi domain would be a plus) with excellent data engineering skills using sql, python/r, hive/scala/spark.
- knowledge and execution of statistical techniques is required.
- should be highly skilled in communicating complex ideas, machine learning and advanced analytics techniques.
- strong analytical thought process and aptitude for problem solving.
- should be adept in using ms office with exceptional ms excel skills. Exposure to vba will be advantageous.
- experience in visualization technologies such as qlikview/spotfire/tableau would be a plus.
- excellent communication skills (both verbal and written).
- proficient english is required, both verbal and written.
- excellent time management, as the position requires independent decision making.