Data & Analytics Managers - Asset and Wealth Management
Who we are looking for
If you are a Data Analytics savvy professional with experience in Financial Services focused on Asset Management or Wealth management 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. A core component of the regulatory agenda is leveraging data assets to 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 Asset and Wealth Management clients leverage their data assets to better support their clients, understand their business, deliver on their regulatory requirements and become more efficient. We are currently looking for experienced senior associates, managers and senior managers to join our fast growing team in the Asset and Wealth Management 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 Asset and Wealth management organisations. 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 role
Our 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
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 YouIn 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
Closing Date: 18 January 2018