Financial Crime Data Analytics Specialist - London, United Kingdom - Bovill
Description
Bovill is an independent, specialist financial services regulatory consultancy with a global offering. We specialise in helping clients solve difficult and interesting problems, so we look for people who thrive on intellectual challenge, can roll up their sleeves to delve into issues and get satisfaction from helping clients, conduct a thorough analysis of a problem and translate that into practical advice.
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Position
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At Bovill, the Fraud and Financial Crime team supports our clients on a range of topics including technology and data analytics.
We leverage analytics to provide effective oversight of our clients' financial crime models, as well translating data into business intelligence to support stakeholders in the interpretation of policy, regulations and other matters.
We help deliver complex information and insight in a way that is simple and easy to understand to help our clients deter, detect and disrupt financial crime.
We are now looking for a Financial Crime Data Analytics Specialist to join us initially for a period of 6 months (inside IR35) to support our clients through the use of advanced analytics to help them supplement the underlying financial crime systems, improve the quality of alerts, and increase efficiency in identifying suspicious activities.
This particular role is of critical importance for our clients and involves the analysis of vast quantities of data using cutting-edge technologies and advanced statistical techniques in order to discover insights for our clients.
You will be looking for hidden patterns within the global payments of a bank accused of money laundering, searching for evidence of fraud and abuse within a company's finance system or helping track down rogue traders in their attempts to manipulate global financial markets.
You may also be researching new tools and technologies and developing new propositions to take to our clients.Accountabilities and responsibilities include:
- Understanding our client's risk profile and business needs, understanding what data is available, and determining how their requirements could be met with the use of technology.
- Conducting data quality analysis alongside the analysis of input data to find hidden patterns or intrinsic structures in historical data.
- Performing systems effectiveness testing and assess the basis upon which systems or models have been calibrated and/or provide advice on statistical validity.
- Leveraging/analysing client data to identify risks, issues and patterns to support control enhancement.
- Advising clients on how to achieve effective oversight of analytic processes, including producing MI on monitoring in line with UK regulatory reporting requirements.
- Performing independent reviews of clients' systems and controls, and make appropriate recommendations.
- Proactively maintaining relationships and open communication with, and actively promote controls, models and analytics to our clients and their control functions, and provide support where necessary to address regulatory requirements.
- Contributing to full customer impact assessments which are carried out when changes or developments are proposed.
- Helping to define business requirements and supporting vendor selection processes.
- Fostering a professional relationship with clients and contacts, ensuring regular and open communication.
In addition, you will be able to participate in and, where relevant, help to present at Bovill events and training sessions, such as client briefings on topical regulatory issues and roundtable events aimed at compliance professionals to enable you to engage with and build Bovill's client base.
Requirements
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Your expertise and experience will include:
- Experience in one or more of the following competency areas: data analysis (for example using SQL/Python), data visualisation, programming or scripting.
- Relevant professional qualification (investment or compliance-related), or willing to study towards
- Knowledge and experience of systems configuration, data analytics, model validation as well as foundational understanding of broader systems and controls
- Good understanding of global financial crime requirements and regulatory expectations
- Financial crime compliancerelated experience gained at a financial institution, legal practice, consultancy and/or the regulator.
- Experience translating regulatory rules and guidance into meaningful and pragmatic solutions for clients.
- Experience managing client relationships.
- A passion for solving interesting problems and have an interest in learning how to manage relationships with clients and the wider team.
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