Assurance - Data & Analytics Senior Associate - AWM – London
Who we are looking for
The use of data is becoming more and more important to our clients. To meet this growing demand, we are significantly investing in our practice to offer a wide range of data-related services, from data governance and data quality, through to strategy development, visualisation and advanced modelling and analytics.
We are currently looking for an experienced data practitioner to join our fast growing Data & Analytics in Assurance (DAA) team. 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 organisations. These organisations are collecting and using more data than ever before to drive their business, serve their customers and to meet expected standards and regulatory requirements. As data becomes more integral to the operations and management of businesses, the businesses and environments in which they operate are becoming more complex. This introduces new and ongoing challenges that organisations need to face in order to understand and make effective and efficient use of the data that they hold. It is essential that we are equipped to help our clients face these challenges and take advantage of the opportunities that new techniques and technologies present.
Our DAA team work with clients to deliver crucial insight through data analytics, advanced modelling and data visualisation. We also help our clients to establish the right controls, processes and structures to ensure that decisions are based on accurate information. We often assure that information and data provided to regulators and third parties is accurate, complete and can be trusted.
What makes us different is our ability to combine data analytics and assurance with our other offerings across the firm, enabling us to provide truly innovative services and solutions to our clients.
About the role
PwC’s strength is our ability to work with our clients on the key issues that impact their business and utilise industry leading data analysis techniques and approaches as part of excellence in client delivery.
We are looking for motivated, enthusiastic individuals to join our DAA team. People with the right blend of hands-on data experience, an eye for innovation to help us build client offerings and an understanding of the markets in which we work.
Your Main Responsibilities
As a member of the DAA team in Finance - Asset Wealth Management you will be responsible for:
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
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 Asset and Wealth Management
Understanding relevant Financial Services regulation (e.g. MIFID II, EMIR, AML, Dodd-Frank, FATCA, and Solvency II)
Understanding of the 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 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
Understanding of statistical analytics methods and the ability to apply these in the appropriate circumstances
Data modelling and/or data architecture experience
Knowledge of database and ETL technologies
Experience of business analysis tasks and approaches
A technical background in Mathematics, Computer Science, Data Analytics or similar
Ability to gain a UK Government Security Clearance
SAS / SQL certified practitioner qualification