Data Analytics - Insurance - Manager

Recruiter
PWC-1
Location
London
Salary
Competitive
Posted
23 Sep 2017
Closes
30 Sep 2017
Contract Type
Permanent
Hours
Full Time

Who we are looking for

If you are a Data Analytics savvy professional with experience in Financial Services focused in Insurance this will be an excellent opportunity for you to join a successful team at a time of growth.

PwC is strengthening our data and analytics capabilities in Financial Services as our clients face significant shifts in the regulatory environment but are also seeking to utilised data in areas such as claims settlement and pricing. A core component of the regulatory agenda is leveraging data to demonstrate compliance and better manage the constantly shifting and demanding regulatory requirements. The use and governance of data is becoming more and more important to our clients.

To meet this growing demand, we are significantly investing in our Data & Analytics practice globally in Financial Services using the latest tools and technologies to help companies make better decisions and get faster results through the use of strategic design, operating model change, analytics, and tools.

Our team focuses on helping Insurance clients leverage their data assets to better support their clients, understand their business, deliver on their regulatory requirements and become more efficient and profitable. We are currently looking for experienced senior associates, managers and senior managers to join our fast growing team in the Insurance business. We have ambitious plans and are looking for individuals who can develop and build our go-to-market propositions and excel in client delivery.

About Our Team

PwC work with some of the largest UK and International Insurers. As the business and regulatory environment becomes more complex, these organisations are collecting and using more data than ever before. This introduces new and on-going challenges as they try to maximize the value of, and effectively use, this data.

The Data and Analytics team works with clients through improved insight from Artificial Intelligence and advanced analytics / data visualisation, and by establishing the right controls, processes and structures to ensure that decisions are based on accurate information. In addition, we assure that information and data provided to regulators and third parties is accurate, complete and trustworthy. What makes PwC stand out is our ability to combine data analytics and assurance with our offerings in regulatory compliance, technology assurance and risk management, to offer truly innovative services and solutions to our client.

About the roleOur vision for Data and Analytics aligns with our Firm's goal of being a pre-eminent management consulting firm. As trusted advisors to senior level executives, we seek to assist them in maximising value from their data assets to reduce risk, improve efficiency, ensure compliance and identify and develop new business opportunities.

We support our clients with a range of services:

  • Developing and implementing information led data transformation programmes
  • Creating Innovation Hubs for clients - changing the way they think
  • Designing and developing dashboards, visualisations and metrics to improve understanding of business processes, identify potential weaknesses and provide operational resilience
  • Developing data analytics routines to test detection scenario
  • Designing automated and data-driven controls to better manage and protect data assets
  • Validating and testing data and reports submitted to regulatory bodies
  • Designing, assessing and optimizing data governance processes and operations

Your Main Responsibilities:

  • Managing projects including project delivery, budget and risk
  • Actively contributing on client-facing project work, being self-starting and motivated to produce the required high standard of deliverables
  • Developing and owning PwC propositions and delivery methodologies
  • Building and maintaining relationships both internally within the PwC network and externally with clients
  • Supporting sales through work on bids, proposal responses and developing opportunities

About You

In order to be successful you will ideally need to show ability in the following areas but if you believe you are particularly strong in anyone of these and feel you want to learn some of the others we would also like to hear from you:

  • Experience of the UK Financial Services industry - ideally in Insurance
  • Understanding relevant Financial Services regulation (e.g. Solvency II, Lloyds minimum standards, GDPR)
  • Understanding of the Insurance Business Value Chain
  • Experience in building Artificial Intelligence and Machine learning models e.g. Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition), Geospatial Prediction, Multi-layer Perceptron and other Neural Networks.
  • Artificial Intelligence / Voice Technology experience e.g. IBM Watson, Amazon Echo, Google Home, Microsoft Cortana, Apple Siri.
  • Experience in multiple tools/language/frameworks within the Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, Hbase, Cassandra)
  • Understanding of Artificial Intelligence and Cloud Platforms (e.g. Azure / IBM / Google)
  • Advanced data analytics, building models in Python, R, SAS programming languages and libraries
  • Data analytics and visualisation products such as D3, Power BI, Qlikview, Tableau
  • Strong SQL and data manipulation skills
  • Data quality and data cleansing techniques
  • Understanding and experience of the principles of data governance

You will also need to have:

  • Track record of managing data project delivery and project teams including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce project deliverables
  • Ability to develop new ideas into structured, deliverable proposals and projects
  • Ability to identify and address client needs, develop and maintain meaningful client relationships
  • Strong analytical and problem solving capabilities
  • Strong stakeholder management and interpersonal skills
  • Excellent presentation and report writing skills

Desirable Skills:

  • Understanding of statistical analytics methods and the ability to apply these in the appropriate circumstances
  • Consulting experience
  • Data modelling and/or data architecture experience
  • Knowledge of database and ETL technologies
  • Experience of business analysis tasks and approaches
  • Desirable qualifications
  • A technical background in Mathematics, Computer Science, Data Analytics or similar
  • Ability to gain a UK Government Security Clearance
  • SAS / SQL certified practitioner qualification

Location
London

Assurance

Assurance is a dynamic place to be right now, and the variety of opportunities on offer is unprecedented. It's work that really does matter. It matters for businesses, governments and society at large. Our team provides confidence on the most complex decisions companies have to take and this provides a wealth of opportunities to everyone who joins us and works with us.

The skills we look for in future employees

All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships.

To apply, please visit our website via the button below.

Diversity

We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool, as well as those who reflect the diverse nature of our society. And we aim to encourage a culture where people can be themselves and be valued for their strengths. Creating value through diversity is what makes us strong as a business and as an organisation with an increasingly agile workforce, we're open to flexible working arrangements where appropriate.

Learn more here