Financial Crime Data Analytics Principal Consultant - Promontory @ IBM - London

Job Overview

2 months ago

Financial Crime Data Analytics Principal Consultant - Promontory

IBM - London

Introduction
Promontory is a premier strategic, compliance and risk consulting firm operating as a unit within IBM Global Business Services. Our senior professionals have served as partners of top consultancies and law firms, leaders of financial regulators and global financial institutions. We are often engaged by the board or senior executives to assist with their most pressing, sensitive, and complex assignments. With Promontory and IBM offices located around the world we serve clients wherever their needs arise.

We have one purpose; to be a Trusted Partner. Through our values of Superior Expertise, Innovative Solutions and Collaborative Community we seek to provide our clients with solutions to their wide variety of complex problems. Across the business our consultants have a unique blend of legal, regulatory, and management expertise and we are looking to add further experience to our Financial Crime team.

Our team specialising in Financial Crime works across a wide variety of clients assisting in the development and execution of a wide range of financial crime related topics including Anti-Money-Laundering, Sanctions and Anti-Bribery and Corruption.

Your Role and Responsibilities
#GBSEMEAH2_21
The Promontory Financial Crime Risk Management practice is involved in some of the highest profile engagements of the day and works regularly as Skilled Person and with firms directly to help strengthen their approach to financial crime risk management, covering anti-money laundering (“AML”), sanctions, fraud and anti-bribery and corruption (“ABC”). Our team is based in London and our work is predominately UK focused, however, we also work with our teams in Promontory and IBM globally connecting on financial crime issues.

Recent engagements include training Boards and senior executives on their role in managing financial crime risks, advising Money Laundering Reporting Officers (“MLROs”), Chief Risk Officers and Chief Executives on strategy to deal with regulatory interventions, Skilled Person Reviews and providing assurance over remediation activity and lookback investigations. We are also working with IBM on leading technology products, services and solutions related to anti-financial crime including the use of machine learning to manage anti-financial crime processes.

The Promontory team is diverse, talented and passionate about its work. We would like to attract applicants who are equally passionate and enthusiastic about financial crime risk management. As part of Promontory’s Regulatory practice, you will work within a team of senior industry figures and experienced professionals. You will be intellectually challenged and will play a role in growing the team.

Your Role and Responsibilities:

If selected for the position, the successful candidate will be called upon to do some or all of the following:
  • Construct and analyse large SQL databases and datasets to support the evaluation of financial institution compliance with supervisory requirements relating to AML, sanctions screening and fraud monitoring guidelines.
  • Develop statistical, econometric or data-science models to support financial crime modelling, validation, and testing activities.
  • Implement data sampling methods to support FC model development, validation, and tuning.
  • Lead engagements that require financial crime data analytics solutions for clients delivering exceptional SME advice.
  • Lead and participate in client meetings, such as interviews or presentations, which often include senior executives or directors of the client. You will rely on your understanding of current regulatory priorities and standards to help you plan for and drive discussions with clients
  • Advise clients on regulatory requirements, expectations and industry practices as relevant, particularly in relation to UK financial crime regulations and associated regulatory and industry guidance
  • Produce clear reports describing analytics projects and their results, interpreting them for both technical and non-technical audiences and relating them directly to significant business issues both orally and in writing.
  • Manage the professional development of associates and analysts.
  • Perform additional duties as assigned.

Practice and business development
  • Contribute to the growth and development of the Financial Crime Risk Management practice in the UK.
  • Draw on your understanding of our core offerings and challenges faced by firms in relation to prevention of financial crime to undertake business development activity, collaborating closely with our colleagues within the wider IBM firm, by drafting proposals for clients, writing thought leadership, developing marketing materials to support our campaigns and participating in meetings with current or potential clients.
  • Take an active role in knowledge sharing, thought leadership and practice development to ensure the practice remains abreast of emerging trends and business opportunities, drawing on your knowledge and experience of the FCA regulatory strategy and objectives and analysing new legal or regulatory requirements relevant to our clients.
  • Support the wider practice in developing client relationships through external networking and contributing to knowledge-sharing events.

Required Technical and Professional Expertise
  • Experience in financial crime modelling, validation, and model risk management.
  • Experience implementing risk-sensitive validation and testing approaches for vendor-developed anti-money laundering (AML), sanctions and fraud monitoring models.
  • Knowledge of many industry leading third party financial crimes detection tools and models such as SAS, Actimize, Mantas, Prime, NetReveal and Detica.
  • Experience with FC model input output data validation, replication, benchmarking, ATL/BTL testing and model tuning.
  • Strong skills in statistics, econometrics or data science.
  • Expertise with a statistical programming language such as R, or Python, and ability to learn new programming languages quickly.
  • An ability to explain statistical and technical concepts to non-technicians.
  • Strong English writing skills, with the ability to construct well-founded, clear, and concise analyses and recommendations for technical and non-technical audiences.
  • Highly motivated with the ability to lead and to work both independently and as a member of a team.
  • Strong organisational skills.
  • An ability to produce accurate work products under binding time constraints.
  • Excellent MS Word, Excel, Access, and PowerPoint skills.
  • The ability to quickly assimilate into an unfamiliar, fast-paced environment.
  • Strong personal integrity and a concern for ethical behaviour.

Preferred Technical and Professional Expertise
In addition, it is desirable that the successful candidate be able to demonstrate prior experience in one or more of the following:
  • Familiar with the model risk management standards and best practices in the U.K., U.S. and other international jurisdictions.
  • Applied econometric modelling, Quantitative economic modelling or quantitative finance.
  • SQL programming skills and experience with relational databases (e.g., Oracle, MS SQL, etc.).
  • Implementation of methods for exploratory data analysis.
  • Analysis of Big Data.
  • Design of statistical samples and implementation of sampling methodologies.
  • Design and implementation of simulation or optimization models.
  • Programming and implementation of statistical algorithms in C/C++/JAVA/Python
  • Programming and implementation of machine learning algorithms for classification or prediction.
  • Management consulting.
  • Substantial relevant work experience showing evidence of each of the following:
    • Writing reports or articles and making presentations on technical quantitative modelling topics for non-technical audiences.
    • Undertaking validation and testing approaches for vendor-developed anti-money laundering (AML), sanctions and fraud monitoring models
    • Application of statistical programming using tools such as R, S+, SAS, Matlab or Python.
    • Econometric or machine learning modelling using large, complex consumer or business datasets.
    • Developing quantitative models for risk and performance segmentation and measurement.
  • A degree (BA/BS, MS or PhD) in statistics, econometrics, quantitative finance, decision science, operations research, applied mathematics, or other relevant field.

Candidates must be eligible to work in the UK
About Business UnitPromontory Financial Group, an IBM Company, seeks talented individuals at the Principal level to contribute to the firm’s global efforts to provide clients with solutions to challenging strategic, risk management, and regulatory compliance issues. We are seeking individuals to join our Financial Crime Risk Management practice in the UK to establish a Financial Crime Data Analytics skillset in the UK. The successful candidate will work closely with other subject matter experts in our Global Quantitative Solutions Group based in the US.

Your Life @ IBMWhat matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBMIBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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