What are the responsibilities and job description for the Global Compliance Director - Data position at Karkidi?
The role will involve the following activities :
Work with internal business stakeholders (eg across operations and IT) to identify appropriate data sets.
Analyse data sets and generate statistical information to identify trends and areas that may warrant further review by the compliance function.
Develop and implement compliance monitoring programs using data analytics tools.
Analyse data sets to identify higher risk data points across the regulatory reporting framework, for example, data points within regulatory reporting that are a focus for regulators, and data points within client facing regulatory reporting that are a focus for clients.
Generate detailed compliance reports and dashboards for senior management and regulatory bodies.
Collaborate with legal and regulatory teams to ensure compliance with regulatory requirements associated with technology-related topics including AI.
Work with technology teams to plan necessary development work.
Advise the Head of EMEA Compliance on how to develop data science skill sets of team members.
The role may involve the management of a small team of dedicated Compliance staff. A wider network of other Global Compliance teams supports the regulated entities via service agreements.
What qualifications, skills and experience would help someone to be successful?
10 years of relevant experience, preferably at a large financial institution or regulator.
Ability to collect, process, and interpret large and complex data sets using various tools and methods.
Working knowledge of data analytics tools such as : Power BI, Python, SQL, Excel.
Creativity to explore new ways of finding patterns and solutions in the data and presenting them in a clear and compelling way.
Teamwork skills to collaborate with other compliance professionals, data scientists, and business stakeholders on cross-functional projects.
Programming experience or experience of working with programmers to write, test, and debug code using languages such as Python, R, SQL, or Scala.
Machine learning experience to apply appropriate algorithms and models to solve business problems and generate insights.
Statistical skills to apply mathematical and statistical concepts and techniques to data analysis and interpretation.
Attention to detail to identify potential compliance risks and develop strategies to mitigate them.
Knowledge of regulatory requirements would be a benefit.
Communication skills to effectively communicate findings to the Compliance team, senior management, and other stakeholders.
Risk management skills to identify, assess, and mitigate potential compliance risks and issues.
Ability to understand and assess the regulatory risks associated with investment funds, investment services, and clients.
Strong communication skills both virtual and in-office.
Able to work independently and collaboratively as part of a global program.
Fluent in English required, with French, German or other European languages a plus.
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