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Experienced Professional

Data Analytics Manager- Unstructured Data

Location: London

Service Line: Forensic

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Experienced Professional

Manager- Deal Analytics - Data Science

Location: London

Service Line: Deal Advisory Central

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Experienced Professional

Data Analytics Manager- Financial Crime

Location: London

Service Line: Forensic

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Experienced Professional

Data Analytics Senior Manager – Corporates

Location: London

Service Line: RC Technology

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Experienced Professional

Associate Director - Data Analytics

Location: London

Service Line: Customer

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Data Analytics Manager- Unstructured Data

Location: London

Capability: Risk Consulting

Service line: Forensic

Experience level: D

Employment type: Either Full Time or Part Time



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

Manager- Deal Analytics - Data Science

Location: London

Capability: Deal Advisory

Service line: Deal Advisory Central

Experience level: C

Employment type: Either Full Time or Part Time


The Team


Our highly specialised Data Science and Engineering team in our KPMG ‘Lighthouse’ uses advanced analytical techniques and industrial scale technology platforms to help our clients address complex business challenges. Typical projects require extracting a variety of data at large scale, drawing deep insights using complex analytical algorithms, and visualising the results to articulate compelling and engaging stories that, in the end, deliver increased value from that data. Our UK team works closely together with data science and engineering teams around the world, specifically for this role with colleagues in the US, supporting the global Deal Advisory strategy as well as KPMG Deal Advisory (Corporate Finance, Transaction Services and Value Creation) teams.


The Job Description




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At KPMG, our values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people – their different perspectives, experiences and backgrounds. From our inclusive leadership strategy to our diversity and inclusion targets – we’re making bold changes to who we are and what we do. Be part of it.


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A Data Scientist would typically work under the guidance of a Senior Data Scientist and work collaboratively with our business teams and our clients to show the art of the possible and to assess possible value and feasibility of applying data science in order to help solve specific business problemsAsset development
: Build data science assets in line with the Dal Advisory global strategy, to ensure we have the platforms and core assets in place to meet market demand. This could also include supporting our continuous improvement process around our own design and development processes e.g. about how we ensure the high quality that our clients require in an efficient manner.

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People

: As a fast growing highly specialised team, you will be
involved in the running and growing of our team, e.g. through involvement in hiring and coaching colleagues, helping with knowledge management, organising team meetings or other events.



Roles & Responsibilities



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Support client engagements focused on large data sets and applying advanced analytical techniques, in diverse domains such as retail price optimisation, channel management, marketing strategies, customer intelligence, , etc.

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Monitor performance to ensure models perform as effectively as possible.

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Develop new, or tailor existing, analytical solutions designed for processing large data sets (e.g. using an Hadoop framework) and by applying advanced analytical techniques (e.g. machine learning, neural networks, NLP, A/B testing, etc.)

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Balance statistical rigor and thoroughness with cost and speed based on the client's budget and time frame

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Prioritize and effectively manage several deal deliverables across multiple deals and workstreams

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Help maintain and win new business by working with Partners on client and target pitches and business development case books

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Act as Performance Manager and mentor to junior colleagues

The Person


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Well versed at applying advanced analytical techniques to large and varied data sets, generated and flowing at a rapid rate. Sample techniques include, but are not limited to:

o


Applied machine learning

o


Natural language processing

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Collaborative filtering and recommender systems

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Event detection and tracking

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Graph Analytics

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Experience with:

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Generating and test working hypotheses, prepare and analyse historical data, identify patterns from samples for reporting of trends and support Predictive Analytics

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Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data

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Operating within the exploratory and experimental aspects of Data Science, e.g. to tease out interesting and previously unknown insights from vast pools of data

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Working collaboratively with other members of the Data Science and Information Architecture teams to innovate and create compelling data-centric stories and experiences

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Experience managing multiple projects and teams at the same time

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Ability to make well-reasoned, data-driven decisions in ambiguous or interpretive business situations

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Excellent written and verbal communication skills with the ability to thoroughly yet concisely explain:

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Technical concepts and analytics-driven findings

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Business processes, concepts, challenges, and issues to non-technical resources

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Desire to work in fast-paced, team-oriented, loosely-structured environment

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Proficient with programming languages used by data scientists and in big data platforms, like Python, R, Scala, Julia, Java.

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Track record in staying conversant in new analytic technologies, architectures and languages – where necessary – for storing, processing and manipulating this type of data

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Demonstrated Data Science consultancy skills, e.g. running hypotheses workshops, mentoring more junior team members, preparing reports and presenting data science results.

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Skilled in communicating with a variety of stakeholders in the organization

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Planning and organisation skills so as to work with a high performance team, handle demanding clients and multitask effectively



Qualifications




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5+ years of experience in data, data science, data engineering and/or other technology related capabilities

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Masters or Ph.D. in Computer Science, Statistics, Engineering or similar technical field

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Proficient with programming languages used by data scientists like Python, R, Scala, Julia, Java, C++




Data Analytics Manager- Financial Crime

Location: London

Capability: Risk Consulting

Service line: Forensic

Experience level: C

Employment type: Either Full Time or Part Time



At KPMG, our values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people – their different perspectives, experiences and backgrounds. From our inclusive leadership strategy to our diversity and inclusion targets – we’re making bold changes to who we are and what we do. Be part of it.

The Financial Crime Data Analytics team is a key contributor to the Firm’s strategic growth initiatives. We have achieved rapid year-on-year growth since the team’s inception and have set ourselves ambitious targets to maintain the momentum. Our work is varied and covers all areas of financial crime, including sanctions, CDD, transaction monitoring and fraud.

We are now looking for experienced managers to work closely with our clients, manage an array of projects, and contribute to the development of our innovative and market-leading solutions.


Responsibilities

• Financial crime and technical knowledge: You will provide subject matter expertise to our clients in one or more of the following areas: sanctions screening, fraud detection and prevention, market abuse and regulatory breach monitoring, transaction monitoring, and CDD.
• Proposition development: You will use your industry experience to develop financial crime-focussed propositions that address the regulatory and commercial challenges of our clients.
• Development of our talent: You will be a role model for our junior team members and encourage the development of relevant skills and knowledge.
• Risk management: You will identify and appropriately manage risk, ensuring the Firm's risk management frameworks are implemented effectively.
• Engagement delivery: You may be required to work across multiple projects, with the responsibility of managing teams, timelines and budgets.
• Building relationships: You will acquire and maintain cohesive relationships with key client contacts and colleagues within KPMG.
• Market awareness: You will continue to grow your industry knowledge through observations of market trends, competitor activity, and current/future products and services.


Required Experience and Qualifications

This exciting role will fully utilise your financial crime knowledge and analytical skills. Strong technical skills are essential, as candidates will be expected to develop solutions either individually or as part of an integrated multi-disciplinary team.
Candidates must be able to demonstrate broad experience in a number of the following areas:
• A demonstrable understanding of the current challenges affecting financial institutions in the financial crime space and how they use technology used to combat them.
• A commercial understanding of how financial crime technology teams operate within financial institutions, their drivers and their challenges.
• Experience leading multi-disciplinary teams and projects in client facing environments.
• A proven ability to develop client relationships and maintain professional networks.
• An in-depth understanding in at least one of the following areas of financial crime: sanctions, transaction monitoring, CDD or fraud.
• A solid understanding of control systems and feedback loops.
• Designing and reviewing data processes to ensure they are fit for purpose.
• Other related data management experience in data governance, data standards documentation, data quality and data integration.
• Strong analytical skills and ability to identifying patterns within data to generate business insight.
• Strong technical skills (e.g. experience using SQL, SAS, Python, etc.).
• Excellent communication skills with the ability to explain complex technical analysis to a non-technical audience.

Data Analytics Senior Manager – Corporates

Location: London

Capability: Risk Consulting

Service line: RC Technology

Experience level: B

Employment type: Full Time



Technology Risk Consulting (Corporates) team services large national and international corporate clients including Power & Utilities, FMCGs, Pharma. Our engagements often take place in an international context which requires us to provide services across the globe, often in close cooperation with other KPMG offices.

Tech Risk is a fast growing department that currently consists of about 80 professionals of which roughly 60 are based in our Canary Wharf office on Canada Square in London. Our services are of both an assurance and advisory nature and include:
• Data Analytics
• IT Security and Risk Management
• IT in the External Audit
• IT External & Internal Audit
• Systems Regulatory Assurance
• Independent Programme and Project Assurance
• ERP & Business Systems including GRC
• Revenue assurance

Within this team a key objective is to grow our capability and size of our Data Analytics offerings into the market, as part of a wider strategic plan to build and grow our Data Analytics team in Risk Assurance. This work is delivered through stand-alone assignments, or as part of external and internal audit engagements. The successful candidate will be involved in client facing and client relationship building across of range of corporate clients.

Typical activities include:
• Responsibility for quality, value add and timely delivery of the overall output from client engagements
• Scoping, financial management, managing delivery risk, production and review of deliverables
• Building and managing excellent client relationships (typically at CIO / CFO/ Project Sponsor level)
• Actively identifying and progressing business development opportunities, as well as managing sales activities such as proposal writing and assisting with client presentations
• Coaching and developing team members on engagements



The Role


A Senior Manager with will be responsible for driving growth and building a team in Data Analytics, developing new business from existing clients and new prospects, building deep and enduring relationships with blue chip organisations and establishing themselves as a subject matter expert in this type of assurance and consulting support.


Responsibilities


The responsibilities attributable to this role will include some or all of the following:
• Actively identifying and progressing business development opportunities related to Data Analytics, as well as managing sales activities such as responding to RFPs/ audit tenders, bid management, proposal writing and client presentations.
• Leading multiple Data Analytics assurance and/or advisory engagements
• Responsibility for the overall output from client engagements.
• Overseeing the scoping, financial management, managing delivery risk, production and review of deliverables.
• Building and managing excellent networks and client relationships (typically at CIO, CFO and Head of Internal Audit level) across a range of organisations.
• Developing internal networks and maintaining excellent relationships with colleagues across KPMG, promoting the Data Analytics capability of the value it could add to their engagements.
• Be responsible for expanding Data Analytics services in Corporates clients, e.g. B2C and B2B. whilst also being able to work across a range of other sectors.
• Coaching and developing team members, both as Data Analytics specialists, but also training wider Technology Risk Consulting team members to become skilled in certain areas (e.g. selling Data Analytics, technical knowledge, building solutions etc.).
• Developing competence in a broad range of technologies and frameworks for managing all aspects of the data lifecycle
• Leading product development and innovation in the use of data and analytics technologies, to ensure that KPMG’s offering remains market leading on a global scale.
Experience and Background
• Experience in business and data analysis and understanding of core business and financial processes within clients’ markets.
• Experience in Enterprise performance management and understanding how an organisation uses Management Information to make decisions.
• Experience in some of the following or similar technology areas:
• Data Analytics (SQL)
• Data Reporting (Excel, VBA, PowerBI)
• Solution Building
• Big 4 professional services or dynamic IT consultancy environment.
• A good understanding of technology platforms supporting the industry
• Ability to present on specific industry subjects to a large group of people
• An understanding of system risks and controls, to relate them to the wider business environment and to express opinions clearly to all levels
• Ability to develop excellent client and internal relationships
• Ability to deliver work within tight timescales, to budget and to a high quality
The Individual


Successful candidates will display a combination of the following:
• Proven experience in identifying and developing sales opportunities.
• Strong people management skills.
• Excellent communication skills (both written and oral) and first rate interpersonal skills at all levels.
• Ability to present on specific subjects to a large group of people (both internal and clients/ potential clients).
• Ability to break down technical data analysis into accessible business terms, which express clear opinions to all levels and are applied to the wider business environment.
• Ability to develop excellent client and internal relationships.
• Ability to deliver work within tight timescales, to budget and to a high quality.
• Excellent team player, but also able to excel working on own initiative.
• Ability to identify, understand and adopt new technologies and innovations, and assess and explain the value to KPMG of developing these within the SAP capability.
Qualifications and Skills
• Proven experience of successfully delivering technology based consulting services, particularly related to Data Analytics.
• Masters degree or MBA.
• Big 4 professional services or dynamic IT consultancy environment experience.
• Significant experience in industry or professional services.


Associate Director - Data Analytics

Location: London

Capability: Management Consulting

Service line: Customer

Experience level: B

Employment type: Full Time



The Role

• Building global relationships and actively seeking out the global networks best experts to address client needs

• Communicating compelling and well thought out solutions to complex problems

• Building constructive working relationships across different teams, functions, countries or cultures


Responsibilities

Reporting to the Director of the team, the role involves overseeing and lead a team which:

• The role will be to support and drive the sales of significant Data Analytics & Digital Transformation consulting engagements in Defence & Aerospace.

• You will be responsible for managing the growth of a high performing a dynamic team, working across multidisciplinary teams.

• You will be able to build strong client relationship and effectively take propositions to market

• You will be responsible for end to end engagement and stakeholder management

• Develops solution features, following development best practices and architecture guidelines


• Uses data analytics tools and techniques to identify patterns, extract outliers, and perform analyses to address client problems


• Develops data visualisations to display analyses to end users


• Tests and validates solutions


• Develops competence in a broad range of technologies and frameworks for managing all aspects of the data lifecycle


• Undertakes technical training to acquire and demonstrate expertise in data analysis and design & build of solutions



The Person


• Recognises the importance of continuous self and team development and actively strives to achieve this.


• Helps others to understand how their work contributes to the overall success of an engagement and the wider firm


• Fosters a sense of self belief and confidence in others


• Seeks to understand others motivations


• Supports others to make brave decisions



• Experience in developing new strategy and propositions to generate business


• Experience in a senior management role managing projects, clients and senior stakeholders


• Experience scoping, designing and building financial models in best practice


• Experience in managing multiple projects simultaneously


• Experience in building and maintaining strong working relationships across a range of teams


• Experience in performance management and developing & retaining talent


• Proven experience of assessing client issues, developing rapid requirements to support the assessment and resolution of data management issues, examples include re-performance of complex systems.


• Experience in business and data analysis and understanding of core business and financial processes within clients’ markets.


• Experience in Enterprise performance management and understanding how an organisation uses Management Information to make decisions.


• Experience in some of the following or similar technology areas:


• Data Analytics (SQL)


• Data Reporting (Excel, VBA, PowerBI)


• Solution Building


• Experience of Aerospace & Defence industry is preferred.


• Security Cleared or capable of being security cleared


• Big 4 professional services or dynamic IT consultancy environment.


• A first-class or upper second-class degree in a numerate subject


• Strong communication skills to be able to describe complex technical issues in a clear and non-technical way


• Strong commercial awareness and understanding of key concepts and issues in the Aerospace & Defence sector



At KPMG, your long-term future is every bit as important to us as it is to you. That's why our aim is to give you experiences that will stay with you for a lifetime. Whether it's great training and development, mobility opportunities or corporate responsibility volunteering activities - you'll gain a wealth of experiences on which to build a rewarding career. We're a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, our clients and our communities.


We're at our best when you're at your best; that's why we've created 'Our Deal' and 'The Academy'. Our Deal is the way we speak about the colleague experience and the expectations we have of our people. We expect the best from our people and in return we provide a stimulating, collaborative environment where each person can reach their extraordinary potential. Through 'The Academy', you'll have access to communities which will support and develop you so that you build your skills and career. From introducing secondment programmes to preferential banking, and student loan payments to your birthday off, we're making sure that our people have an amazing experience.


While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a balanced lifestyle. We offer part time roles with flexible working arrangements which could include, annualised hours, early or late starts to fit around other commitments, shorter working days etc. We are happy to discuss your own requirements and our range of flexible working arrangements in more detail, should that be of interest and, as part of the recruitment process, we can put you in touch with people who work flexibly.
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 all candidates are treated fairly throughout the Recruitment Process. Should you be successful after the initial application stage, please discuss with your recruitment contact any reasonable adjustments to our Recruitment Process that you may require.
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 pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to 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 by viewing our Policy
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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