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Experienced Professional

Data Analytics Assistant Manager

Location: London

Service Line: Customer

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Experienced Professional

Data Analytics Senior Manager – Corporates

Location: London

Service Line: RC Technology

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Experienced Professional

Senior Manager - Corporates Technology - Data and Analytics

Location: London

Service Line: MC Technology

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Experienced Professional

Manager – Corporates Consulting – Customer Data/Analytics

Location: London

Service Line: Customer

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Experienced Professional

Data Scientist - Assistant Manager

Location: London

Service Line: Solutions & Digital

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Data Analytics Assistant Manager

Location: London

Capability: Management Consulting

Service line: Customer

Experience level: Associate/Assistant Manager

Employment type: Full Time



The Team

Using 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.

Our clients need to deal effectively with technology related risks and derive maximum value from data and documentation. Our specialists provide independent, jargon free advice and advanced technology capabilities to help our clients proactively manage their technology risks and use their data to its full potential.

Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters and perspectives. There really is a place for you here.

The Role

• Builds and develops positive constructive relationships inside and outside KPMG
• Assessing problems from multiple angles to ensure all relevant issues are considered when making decisions
• Proactively driving forward new and creative ideas which benefit the client

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

• 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

• Takes time to learn about other people and their experiences and how to apply this learning
• Shares experiences with others to assistant their learning and understanding
• Demonstrates curiosity and open mindedness to new ideas approaches and perspectives
• Actively engages with others in order to address their views/concerns

• Proven experience of working in Data & Analytics and multi-disciplinary teams.
• 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.
• Degree/masters qualification in IT or numerate degree is preferred.

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

Data Analytics Senior Manager – Corporates

Location: London

Capability: Risk Consulting

Service line: RC Technology

Experience level: Senior Manager

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.


Senior Manager - Corporates Technology - Data and Analytics

Location: London

Capability: Management Consulting

Service line: MC Technology

Experience level: Senior Manager

Employment type: Full Time



The Team

Our Data and Analytics team is a specific area of focus and growth for KPMG. Structurally, we sit in the Technology practice of our Management Consulting division. We provide strategic, organisational and technical advisory work for our clients that allows them to exploit their information and maximise value from data assets. Given the significant demand in the marketplace we are looking to hire multiple individuals with expertise in at least one of the following areas: Data & Information Management, Information Exploitation or Advanced Analytics.

The Role

The successful candidate will:

•Lead large, complex data & analytics programmes and projects from strategy to execution.
•Work with senior client stakeholders (CIO, CDO and CFO) to cultivate strong relationships as a trusted partner, through articulating and realising the value of data
•Identify, scope and develop data, analytics and automation opportunities with clients
•Develop client solutions across the creation to consumption data lifecycle (data sourcing, management, quality, reporting & analytics)
•Produce thought leadership on Data Management, Master Data Management, Meta Data Management, Reporting or Analytics
•Build data frameworks, accelerators and points of view to support sales and solve key client issues
•Leverage their understanding of key technology vendors in the marketplace to deliver engagements
•Contribute to business development including leading the creation of Requests for Proposals responses
•Develop people through coaching, mentoring, formal performance management and creating an inclusive working environment
•Use their people management experience to lead combined project teams of client and KPMG data analytics professionals, and develop knowledge in the KPMG team
•Adhere to internal risk/engagement management processes

Skills and experience required

•Masters or bachelor’s degree in a technical or economic field with working knowledge of topics such as data modelling, information management, machine learning, and cloud computing
•Significant experience of data analytics and information management with a professional services firm, an internal strategy/analytics group, or similar environment
•Demonstrable experience of complex data programmes covering the full creation to consumption data lifecycle of data sourcing, management, quality, reporting & analytics (four stages of Create, Curate, Consume and Commercialise)
•A recognised SME in Data & Information Management, Information Exploitation or Advanced Analytics
•Functional knowledge and point of view around key tools within the Data Management or Analytics market
•Developing and/or delivering an Analytics/Data Management roadmap
•Designing an appropriate target state for client data functions based on their vision and current state issues
•Analysis of data, identifying insights and providing hypotheses
•Understanding the delivery of data projects through a standard or alternative project lifecycle
•Understanding of market trends, new technologies and how they impact companies and society (e.g. Internet of Things, Artificial Intelligence, Deep learning…)

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 educated innovative decisions

Manager – Corporates Consulting – Customer Data/Analytics

Location: London

Capability: Management Consulting

Service line: Customer

Experience level: Manager

Employment type: Either Full Time Or Part Time



Job Description – Manager









Background






Ourclients are facing a future of massive disruption driven by regulatory change,customer expectations, new competition and technology innovation.
KPMG is expanding its Corporates (telecoms,media, technology and energy) Management Consulting team to help thesecompanies to successfully navigate this disruption and take advantage of newopportunities.










Aspart of our ambition to become the digital transformation go-to partner andprovider of customer and employee experience, KPMG have established a Customerand Digital function within Consulting. This is a home for our talent and willbe a differentiator in the marketplace.



Ourclients face challenges covering multiple ‘customer’ perspectives – redesigningtheir organisation structure and capabilities to put digital at its heart;redesigning key customer facing processes, often by introducing innovative digitaltechnologies; rethinking how best to instil a truly customer-centric culturefrom the top of the organisation down to the front line; and how to ensure thatthe customer experience is a positive one irrespective of the channels used.



The role as Manager isa fantastic opportunity to be part of the translation of clients’ businesschallenges, leveraging strong commercial acumen and technical expertise, intokey business and functional requirements, to build digital solutions that drivevalue for their customers and employees.



TheRole






Thisis a client facing role which will involve a varied combination of projectmanagement and sales skills, with a focus on product development, innovationand design thinking. Managers draw on these skills at the intersection ofunderstanding the current client’s business problems, knowing the industry todesign, implement and scale relevant solutions for our clients.



Managerswill be expected to partake in business development, which will involvebuilding relationships internally as well as with our key target clients toidentify and shape future opportunities.



Thisrole is focused on building and leading team of consultants that wins and deliversdigital projects. Our projects are rarely standalone and the successfulcandidate will need to work with capabilities and solutions drawn from acrossbroader KPMG.




Managershave a strong business development element to their role which involvesbuilding relationships internally as well as with our key target clients toidentify and shape future opportunities. The role will involve drawing insightsand data from our existing projects for clients; working with the leadershipteam and a range of people from across the firm to develop tailoredpropositions; and engaging our clients with these value propositions.



Asuccessful Manager will bring technical, business and design skills of an experiencedmultidisciplinary team with expertise in customer experience, data science, businessmanagement, engineering and/or development.








Thesuccessful candidate will have the opportunity to further develop coreexpertise in management consulting, product development and business analysis,while building experience through managing multiple work-streams, andstakeholders to drive value for our clients.






KeyResponsibilities




TheManager’s key responsibilities include to:





Play akey role in bidding, winning and delivering customer and digital transformationengagements of significant size and scope.





Leadthe origination of client’s solutions to their digital-related challenges insales and/or service functions.






Supportthe delivery of our digital projects. Specifically, by undertaking roles whichmay include developing hypothesis, business and data analysis and requirementsgathering, development of business cases, and similar.





Supportthe bid and sales process around customer and digital engagements.





Supportthe day to day management and running of the team, by assisting in activitiessuch as resource planning, budgeting/forecasting, developing points of view orwhite papers, collating knowledge, supporting social and team buildingactivities, etc.





Helpclients focus on generating value through their customer and digitalinitiatives, with a clear performance focus, and make sure initiatives aredesigned to drive real value rapidly.





Developrelationships so as to identify and shape future solutions and engagements -working internally (with Connected Digital Architects, Consulting IndustryLeaders, Client Lead Partners, S&D, Business Development Managers, otherparts of KPMG) and externally (partners, alliances).








The Person





We are looking forsomeone with a strong work ethic to join a dynamic and fast growing part of ourbusiness, and who will play a key role in delivering customer and digitaltransformation projects in the UK.






Comesfrom a start-up, product development / design or management consulting background.





Hasa good understanding in at least one of the following areas: Front office(specifically CRM) applications and platforms, Web or Mobile Apps, DataScience, Big Data and Machine Learning, or Intelligent Automation





Hasexperience of winning and leading digital transformation projects that resultin transformation and developing tech solutions of significant size and scopefor leading clients.





Hasexperience of weaving a solution based on current technologies from ideation todelivery







Comeswith experience of working in one of these industries i.e. oil & gas,utilities, retail, telco, FMCG and transport & infrastructure.





Hasundertaken projects and/or work-streams within large projects that involvecombining creative visioning, digital design and development, IT, and businesschange capabilities.



Qualifications and Skills






Morespecifically the successful candidate must be able to demonstrate the followingkey skills:






Experienceof digital transformation.





Articulatethe value of emerging technologies in business to a non-technical audience in aclear and compelling fashion.





Run compellingworkshops, to extract and challenge information from client SME’s andsuccessfully guides participants through unknown territory.





Solidknowledge of the design thinking ethos of human centre design and ability toadopt it to solve client issues.





Strongunderstanding of the application of agile methodology in both productdevelopment and organizational structure.





Creativeproblem solving ability, inquisitive mind-set, comfortable with working inambiguous situations.





Excellentfacilitation and presentation skills.





Goodcommercial awareness.





Abilityto rapidly identify issues and propose solutions.





Abilityto work independently with limited oversight.





Abilityto deliver high quality assignments under time pressure.





Abilityto grow and develop people working for them.


Data Scientist - Assistant Manager

Location: London

Capability: Solutions & Digital

Service line: Solutions & Digital

Experience level: Associate/Assistant Manager

Employment type: Full Time


The Team


Many of our clients are on a ‘digital transformation journey’ to increase profits whilst reducing reputational, operational, financial and other risks. 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 accelerate their digital transformation journeys. 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, supported by our global ‘Ignite platform’, in order to maximise our collective success




The Job Description



·


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.


·


Our Data Scientists support the whole firm on a wide variety of projects, across our Audit, Tax and Advisory business. We are experienced in managing diverse issues including business disruption, process optimisation, resource optimisation, fraud, regulatory compliance, dispute resolution, deriving value from contracts and much more


·


Client related work

: A Data Scientist would typically work under the guidance of a Senior Data Scientist and 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 problems. This could include demoing to prospective clients, developing data strategies, leading feasibility studies, explorative data analysis, delivering minimal viable products or fully fledged projects including putting our models into production either on our own or our client’s environments.





Roles & Responsibilities



·


Operate as part of a team of Data Scientists on specific engagements, focused on the development, training and monitoring of data science solutions that accelerate our clients’ digital journeys.

·


Work collaboratively with our business teams and our clients to develop solutions that solve business problems

·


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, financial crime, risk management, healthcare digitisation, smart grids, etc.

·


Monitor performance to ensure models perform as effectively as possible.

·


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.)

·


Liaise with our advanced Data Engineers in terms of data engineering, model deployment and architecture activities to jointly build solutions that will interoperate seamlessly with other elements of the broader information architecture



The Person

·


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

o


Collaborative filtering and recommender systems

o


Neural networks (including recurrent, convolutional)

o


Event detection and tracking

o


Graph Analytics

·


Experience with:

o


Analysing data growth and lead capacity/sizing activities to arrive at the most appropriate commercial and technical solution

o


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

o


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

o


Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions

o


Deploying models into production, with awareness of the challenges.

o


Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data

o


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

o


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

o


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

·


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

·


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

·


Skilled to communicate with a variety of stakeholders in the organization

·


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



Qualifications



·


Experience in data, data science, data engineering and/or other technology related capabilities

·


BSc (ideally MSc) in Computer Science, Statistics, Engineering or similar technical field

·


A combination of one or more of the following:


o


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

o


Skills in data engineering technologies like Hadoop, HDFS, Spark, Elasticsearch

o


SQL and NoSQL databases




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