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Experienced Professional

Manager - Deal Analytics

Location: London

Service Line: Deal Advisory Central

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Experienced Professional

Associate Director - Deal Analytics - Data Science

Location: London

Service Line: Deal Advisory Central

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Experienced Professional

Associate Director, Strategy, Deal Advisory - TMT

Location: London

Service Line: Deal Advisory Central

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Experienced Professional

Manager- Deal Analytics - Data Science

Location: London

Service Line: Deal Advisory Central

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Experienced Professional

Assistant Manager, Deal Strategy & Value Creation

Location: London

Service Line: Transaction Services

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Manager - Deal Analytics

Location: London

Capability: Deal Advisory

Service line: Deal Advisory Central

Experience level: C

Employment type: Full Time



The Team:


The Data & Analytics Team (or Strategic Profitability Insights, SPI team) works with KPMG Deal Advisory (Corporate Finance, Transaction Services and Value Creation) teams to deliver value-add insights on the fundamentals of a Target business. We are looking to hire multiple Managers into our Deal Analytics team.

Our team uses a combination of Alteryx, Tableau, and proprietary software to produce the aforementioned analyses in an efficient and effective manner. The deal teams and Targets we serve are routinely impressed with the speed at which we can create robust analysis. For example, we can understand, at a transactional level, what is driving businesses, often in 1-2 weeks, working with datasets in the tens of millions.

You will be joining a fast-growing team within Deal Advisory that is driving value for our clients using data-enabled solutions. So what’s that actually mean?

Our team works on a variety of engagements across industries, and the analytics required will vary by engagement. The list of analyses below, therefore, is just a sample of what we produce, and our product offering is ever-expanding.
Using transactional, public, and private datasets, the team deliver insights on customers, products, and other categories regarding:

- Sustainability
- Pricing
- Turnover
- Profitability drivers
- Customer/Product lifetime value
- Concentration risk
- Effectiveness and impact of strategic decisions
- Wallet share
- Feasibility of meeting financial goals

Given the small, entrepreneurial nature of the team, you will also help on ad hoc tasks for the team. These requests vary widely in nature and will include developing and leading internal trainings, assisting the risk management process, staffing and resourcing, client pitches, and networking events.

Job Description:


· Uncover insights quickly and accurately by collecting, processing and analysing raw data obtained from a target to give transaction and strategic deliverables a boost
· Utilise a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
· Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
· Manage several deal deliverables across multiple deals
· Manage staff on your engagements to provide real time feedback and guidance to client and diligence providers to help ensure timely and efficient product delivery
· Train staff on relevant engagement analyses and industry KPIs
· Develop operational protocol for offshore teams and work closely with research team to support analysis
· Utilise non-chargeable time to network, attend trainings, and develop and implement new analytical approaches (by industry where applicable)

Skills, Qualifications and Experience Required:



- Significant experience with Data analytics within a Deals environment
· Experience in public accounting, advisory, financial audit, mergers & acquisitions, transaction services, strategy consulting or equivalent
· Bachelor's degree from an accredited college/university
· Experience in project management including: planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project
· Strong critical thinking skills, including “investigative” mind-set
· Proficiency with Microsoft Excel skills, especially pivot tables, shortcuts and macros
· Knowledge of database systems, research tools, and accounting analysis
· Excellent written and verbal communication skills with the ability to thoroughly yet concisely explain:
- Technical concepts and analytics-driven findings within a Deals environment
- Business processes, concepts, challenges, and issues to non-technical resources

Location: London
Opening date: 23 October 2019
Closing date: 20 November 2019
Competitive salary plus negotiable benefits







Associate Director - Deal Analytics - Data Science

Location: London

Capability: Deal Advisory

Service line: Deal Advisory Central

Experience level: B

Employment type: Either Full Time or Part Time


The team:

The Deal Analytics Team works with KPMG Deal Advisory (Corporate Finance, Transaction Services and Value Creation) teams to deliver value-add insights on the fundamentals of a Target business.
The role:

You will be joining a fast-growing team within Deal Advisory that is driving value for our clients using data-enabled solutions. So what’s that actually mean?
Our team works on a variety of engagements across industries, and the analytics required will vary by engagement.
Responsibilities:

Utilise a hypothesis-driven, problem-solving approach to explore data sets and design, construct, and rapidly test/iterate exploratory analyses to identify patterns that will reveal insight and opportunities for the client
Perform machine learning, natural language, and statistical analyses, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Deploy, test, and observe your analyses to ensure they meet the user's unique demands
Automate analyses and author pipelines via SQL and python based ETL framework
Retrieve, prepare, and process data from a variety of sources such as social media, transaction databases, and operational data
Develop interactive dashboards and reports

Propose techniques to apply based on experience and familiarity with the data set, innovating new techniques when necessary
Generate repeatable data and analytic processes using tools such as R, Python, Alteryx, Tableau, and SQL Server
Work with cross-functional KPMG team members to develop and present findings
Balance statistical rigor and thoroughness with cost and speed based on the client's budget and time frame
Own or participate in every component of a client deliverable, from identifying client needs to producing the final presentation and reports
Prioritize and effectively manage several deal deliverables across multiple deals and workstreams
Effectively align managers and staff on your engagements with their interests and general business needs to provide real time feedback and guidance to client and diligence providers to help ensure timely and efficient product delivery
Help maintain and win new business by working with Partners on client and target pitches and business development case books
Act as Performance Manager and mentor to staff
Qualifications
:

Seven years of experience working as a data scientist, or equivalent

·


Master's Degree or PhD in Math, Statistics, Operations Research, Engineering, Computer Science or Economics


Strong knowledge/experience in one or more of the following areas: Statistics, Operations Research, Machine Learning, Forecasting, and/or Natural Language Processing
·


Experience working with Spark, Hive, Athena or other related technologies; Fluency in R, Python, or Julia


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Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product; Ability to work in a Linux environment


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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


·


Proven project management ability: planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project


·


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


o


Technical concepts and analytics-driven findings


o


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


·


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


Travel as necessary, 10% - 30%




Associate Director, Strategy, Deal Advisory - TMT

Location: London

Capability: Deal Advisory

Service line: Deal Advisory Central

Experience level: B

Employment type: Either Full Time or Part Time



KPMG’s Technology, Media, Sport and Telecoms (TMT) Practice are looking for an Associate Director to join the Strategy & Deal Advisory team, in London.

The team advises TMT focused Private Equity funds and Corporates throughout their investment cycle, helping to shape strategic investment decisions and value creation programmes based on Buyouts, Mergers, Acquisitions, Divestitures, Strategic Partnerships, Digital Innovation, Operational Improvement, and International Expansion.

The team blends together strategic and financial skills to enable and support both organic and inorganic value enhancement initiatives. Key service offerings include Growth strategy, M&A strategy/origination, Commercial due diligence, Financial business planning, Portfolio strategy, 100-Day Planning and Enterprise-wide transformation.

The team works closely with and brings to bear other functional capabilities inside KPMG Deal Advisory and the wider firm, including Transaction Services, Integration & Separation, Data & Analytics, Pricing, Customer Experience and the IOT competence centre.

This role is ideal for a bright, high energy and intellectually curious individual that thrives in fast paced client engagements and wants to develop into a strategist with an investor mindset.

Roles and responsibilities

To be an effective Associate Director within Strategy & Deal Advisory, applicants will be expected to:

•Support the design of complex engagements and take responsibility for leading day to day delivery
•Translate the client brief into manageable work streams
•Lead hypothesis generation, complex storyboarding and shape the overall problem solving approach to develop insights and recommendations
•Coordinate and inspire other members of the team, providing coaching, direction and constructive feedback
•Ensure quality control and consulting best-practices adoption (analytical accuracy, best-in-class data insights, infographics, reports and written/verbal delivery)
•Interact with the senior client team credibly and effectively
•Support client development activity including thought leadership, pitches preparation and proposals writing
•Actively develop own knowledge and expertise in chosen proposition(s) and sub sector(s) of choice Identify, design and lead critical and complex practice development initiatives, coordinating other members of the team
•Build and maintain a strong internal network across the global TMT practice
•Understand risk and ensure the Firm’s risk management frameworks are adhered to

Qualifications and Skills

To succeed in this demanding role an applicant will need to demonstrate the following:

• A first class degree from a leading institution (MBA a strong plus)
• Evidence of strong problem-solving and analytical capabilities
• Detailed knowledge of preferably one or more of the TMT sectors with the ability to talk credibly to C-level clients on the key issues, technological changes, competitive dynamics and strategic considerations facing the industry
• Structured thinking skills combined with creativity (‘both brains’ thinking)
• Ability to review and assess large volumes of technical data and distil the key strategic insights
• Ability to evaluate complex scenarios and produce insightful recommendations that can be practically executed
• Strong numerical capabilities combined with sound commercial acumen
• Excellent English written and oral communication skills
• Other language skills would be a strong bonus

Experience & Background

Applicants will need to display the following:

• Significant experience of working for a strategy house or corporate strategy/development team of a highly acquisitive TMT company
• Detailed understanding of the commercial and financial value drivers within one or more of the TMT sectors
• Considerable experience of managing complex projects in at least one among the technology, media, entertainment, SaaS / business information or telecommunications sectors
• Experience of managing or supporting high value business development activities with senior stakeholders
• Demonstrable ability to build and commercialise relationships with senior executives in corporate or private equity environments

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




·


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.


·


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.

·


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



·


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.)

·


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

·


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

·


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

·


Act as Performance Manager and mentor to junior colleagues

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


Event detection and tracking

o


Graph Analytics

·


Experience with:

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


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


Experience managing multiple projects and teams at the same time

o


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

o


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

§


Technical concepts and analytics-driven findings

§


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

o


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

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

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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




·


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

·


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

·


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




Assistant Manager, Deal Strategy & Value Creation

Location: London

Capability: Deal Advisory

Service line: Transaction Services

Experience level: D

Employment type: Full Time




KPMG’s Advisory business, one of three major units within KPMG (along with Audit and Tax), generates approximately £1.95bn per year and has 11,000 employees in the UK alone. Deal Advisory represents approximately £400m of revenues for Advisory, and comprises a number of specialist teams including M&A, Restructuring, and Transaction Services.


Deal Advisory has an exciting opportunity to join the Deal Strategy and Value Creation team who are developing a new Integrated Value Delivery (IVD) proposition. This will provide our clients with a holistic, integrated portfolio of implementable value creation opportunities in deal situations, underpinned by advanced data science and industry insights, delivered in a deal-speed timeframe. This team is a cross functional (commercial, operational and digital), agile capability group that will help KPMG generate revenue from broader deal value creation opportunities

We are looking for an experienced deal strategy and value creation practitioner, with a spike in either commercial, operations or digital value creation to play a key role in building out the IVD proposition and delivering high-quality engagements for our Corporate and Private Equity clients.

Role and Responsibilities

Key responsibilities will involve:

Play a key role in delivering IVD engagements, leading multiple workstreams, from inception to completion, which will involve:

- Hypothesis generation, data request lists, client management, team management, delivery of high-quality output.
- Able to coach junior team on some elements of delivery including, deep analytics approaches, and starting to develop specific expertise in one of the core legs of commercial, operational or digital
- Sustain a reputation for delivery excellence in the marketplace and help grow/ build our brand
- Assist with business development activities through development of proposals, pitches and point of view documents, and work with team leadership to win mandates across Corporate and Private Equity clients
- Ability & willingness to travel when necessary
Key Skills


- Possess knowledge of Commercial and Operational Due Diligence and value creation methods, tools etc. and the ability to rapidly identify value creation opportunities for businesses in their market place, thinking innovatively to think beyond traditional ‘CDD and ODD’, and being able to perform analysis to support the hypotheses
- Building an understanding of the deal lifecycle (pre-deal, deal and post-deal) and the role KPMG can play within it, with proven understanding of project delivery, value identification and deal execution
- Technical and analytical skills with the proven ability to identify areas of potential value across the deal cycle, and develop an approach to assess each area
- Slide writing skills that provide impact, present ideas clearly in a convincing manner
- An ability to multi-task effectively and balance time
- Developing management skills, with an ability to coach junior team members to ‘think differently’ and produce high-quality output
Experience and background

- Proven experience in delivering high-quality value creation engagements in either private equity or corporates
- Commercial, Operational Due Diligence and/ or value creation engagements, working with both Private Equity and Corporations, is essential (ideally 3+ years of client-facing experience).
- Experience in top-tier or 2nd tier strategy consulting practice would be beneficial
- Development of high-impact proposals or point-of-view packs as part of the business development process
- Proven ability to work with other teams within a business to identify the most suitable combination of skills to deliver high-impact for clients




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