Data Scientist - Financial Crime

Job description

AutoReq ID

132691BR

Job Title

Data Scientist - Financial Crime

Country

United Kingdom

Location

London

Function

Solutions & Digital

Service Line

Lighthouse

Service Line Information

KPMG Overview

KPMG is part of a global network of firms that offers Audit, Tax & Pensions, Consulting, Deal Advisory and Technology services. Through the talent of over 16,000 colleagues, we bring our creativity and insight to our clients’ most critical challenges.

With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in.

Job Description

The Team

The role focuses on transforming Financial Crime Technology for global financial institutions through Machine Learning, Natural Language Processing, Network Analysis, and Statistical Modeling. Our team builds and deploys state-of-the-art machine learning models that tackle anti-money laundering, fraud, terrorist financing, and electronic crime. We are recruiting a data scientist to join our team and build machine learning models in a fast-paced, results-driven, and client focused environment.

In addition to developing your technical skills, learning how to deploy machine learning models to production, and keeping up to date with the latest machine learning tools, you will be working in a multi-disciplinary team of consultants, analysts, and financial services professionals. The work is highly varied, and you will have the opportunity to gain strong consulting and business experience whilst managing key engagement client contacts.

The Role:

- Develop end-to-end machine learning and natural language processing capabilities to combat financial crime within global financial institutions
- Deploy machine learning models to production for real-time processing of banking transactions
- Perform network analysis to determine how payments traverse countries and institutions
- Collaborate on model development with subject matter experts in financial services and financial crime
- Prepare and analyse financial data, enhance datasets with web scraping routines, and identify statistical patterns and anomalies within complex, multifaceted datasets
- Design both static and interactive data visualizations to effectively communicate model results to stakeholders
- Continue training and gaining knowledge in data science techniques and technologies through coursework and international conferences
- Develop presentation, communication, project management, and consulting skills
- Assist with the scoping, production and review of client deliverables
- Build cohesive relationships with clients and colleagues within KPMG

The Person:

This exciting role will give you the opportunity to utilize and broaden your machine learning, programming, and consulting skills.

From your experience you will be able to demonstrate one or more of the following skill sets and expertise:

- Masters or Ph.D. in Computer Science, Mathematics, Engineering or related scientific fields
- Minimum of 1 year experience in applying machine learning models.
Machine Learning Skills
- Regression, Classification, and Clustering Algorithms
- Ensemble Methods
- Natural Language Processing
- Social Network Analysis
- Anomaly Detection
- Deep Learning
- Statistical Inference and Probability
- Data Visualization
Software and Scripting
- Required: Python, R, SQL
- Desired: C/C++, Scala, Java, TensorFlow, H20, Perl, Apache Spark, HTML/CSS
Financial Services (Desired)
- Knowledge of or experience working with Transaction Monitoring technologies, for example NICE Actimize, BAE Systems, Oracle (Mantas), Siron, Apama etc.
- An understanding of customer segmentation, transaction monitoring rules/thresholds and scenarios.
- A functional understanding of anti-money laundering regulations and legislation.
- An understanding of SWIFT messages and international banking
- An understanding of customer systems used by financial institutions
- A practical understanding of international sanctions and regulations.

You:

- Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.
- Tenacious problem solving attitude and commitment to delivering data science solutions to clients.
- Self-starter, intellectually curious, and able to work independently to complete technical projects

Our Deal

If the chance to work with interesting clients and innovative technology wasn’t rewarding enough, we’ll motivate you in other ways too. At KPMG you can expect real responsibilities and opportunities to grow professionally.

‘Our Deal’ sets out all the different ways you’ll be rewarded at KPMG. Among other things you can benefit from honest conversations about your career as well as a range of other rewards. In all these ways and more, we have created an environment that can bring out the best in you.

Flexible Working

While some of our client-facing professionals can be required to travel regularly, and at times be based at client sites, we are supportive where possible of helping you to achieve a balance between your home and work demands.

We are happy to discuss individual requirements and our range of flexible working arrangements could be of interest. Furthermore, as part of the recruitment process, we can put you in touch with people who work flexibly so you can understand from them what our culture is like.

Applying with a Disability

KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that you are treated fairly throughout our Recruitment Process. Should you be successful after the initial application stage, please discuss any reasonable adjustments that you may require, with your recruitment contact.

KPMG's commitment to diversity

KPMG consistently features in the Sunday Times Best Big Companies to work for, which has been recognised with a special achievement award to mark our 10 years in the Top 25. We are proud of the value we place on individuality; we want you to bring your full self to work and truly maximise your potential. We believe that your individuality helps us to deliver the best results for our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference. But, don't take our word for it, find out more about diversity at KPMG.

Returning to work after a break

At KPMG, we appreciate that returning to work after an extended career break can be daunting. We understand that those with experience who have taken a career break have a wealth of experience and knowledge to offer our organisation, which helps us to achieve our business goals. We will support you to refresh your skills, develop your confidence and provide a supportive network across the firm to help you best integrate into the working environment. This role welcomes applications for individuals who have been out of work for 18 months or more and who have previous relevant experience.

Policy for Agencies

KPMG has a commitment to sourcing candidates directly and as such we do not accept speculative CV’s from agencies. Please check here to see our policy on agencies:Policy