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Data Analytics Manager- Unstructured Data

Date: Jun 11, 2019

Location: London, United Kingdom

Company: KPMG UK

AutoReq ID145211BR
Job TitleData Analytics Manager- Unstructured Data
CountryUnited Kingdom
FunctionRisk Consulting
Service LineForensic
Service Line InformationUsing a wide variety of technical and sector-specific skills, KPMG's Risk Consulting group proactively helps clients increase profits whilst reducing reputational, operational, financial and other risks. We are experienced in managing diverse issues including fraud, regulatory compliance, risk frameworks and modelling, capital efficiency, corporate governance, dispute resolution, deriving value from contracts and much more.

Forensic - Using specialist accounting, investigation and business skills in assisting clients involved in commercial or regulatory disputes or in the investigation of fraud and impropriety. Working in the team will mean getting involved in a broad range of projects, i.e. Fraud investigations, and tracing assets.

KPMG OverviewKPMG 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

Trader Surveillance KPMG are looking for a manager with strong consulting skills to help clients detect risks within their business through the use of data analytics, on both structured and unstructured data (voice analytics and text analytics). This will involve the detection of a wide range of risks, for large financial institutions, including: market abuse, misconduct, fraud and financial crime.

The Role

This role is part of KPMG’s Forensics Data Analytics practice.

The successful candidate will have strong consulting skills with a broad understanding of using data analytics and technology to resolve client’s problems to drive insight from large volumes of data, including the detection of risks.
This role will involve working alongside strong technical staff, including Data Analysts, DBAs (Database Administrators) and Data Scientists. The successful applicant must be able to work with both the client and the technical teams. They will be comfortable leading project teams, delivering engagements and advising senior clients.

The applicant will also need to be able to help build and grow the business - this includes expanding existing work, identifying new opportunities and creating and delivering sales materials.

Key Responsibilities:

- The ability to understand client’s issues, devise innovative solutions to address them and then work with the technical team to deliver the solution to the client.
- Strong Consulting skills: working with clients to devise solutions, becoming the main point of contact for clients.
- Deliverables: overseeing and creating high quality outputs for clients in the form of presentations, slideware and written reports as well as developing new and innovative consulting offerings.
- Engagement Management: leading multiple large, complex work streams in a rapidly changing, high pressure environment.
- Building Relationships: building and sustaining relationships with clients and internally within KPMG.
- Developing Others: giving clear direction, constructive feedback and coaching of colleagues.
- Risk Management: identifying and managing risks, ensuring the Firm's risk management frameworks are implemented appropriately and effectively.

The Person Qualifications and Skills:

- Experience of business consulting, data analysis and the Financial Services industry
- Good understanding of methods and databases for analytics and data visualization
- Strong presentation and written skills with clear technical articulation and advisory manner

Experience and Background:

The ideal candidate will have a strong consulting background with extensive experience in consulting in relation to data analytics, with good knowledge of current technologies and issues in the financial sector. They will have experience running multiple projects and large work streams in this area with very strong written, presentation and communication skills.

Other key areas include:
- Ability to identify and grow business opportunities
- Creating and delivering client presentations

Our Deal

Flexible Working

Our employees have many varied work schedules to suit their individual needs!

Our intelligent working options range from role sharing and flexible start and finish times, to home working and more informal arrangements agreed within teams.

Check out examples of KPMG employees enjoying different working patterns on our website and please do share your own individual requirements with us.

Applying with a DisabilityAs a member of the Business Disability Forum we're committed to ensuring a great experience for colleagues with a disability. Should you be successful after the initial application stage, please discuss any adjustments that you may require with your recruitment contact.

KPMG's commitment to diversity

We are proud of the value we place on individuality. We want you to bring your full self to work and maximise your potential. KPMG is a place where everyone can thrive, whatever their gender, ethnicity, disability, sexual orientation and socio-economic background.

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

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