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 hereThe Role
• Operate as part of Advanced Analytics team on specific engagements, focused on enabling the development and delivery of data led solutions that accelerate our clients' digital journeys.
• Exhibit deep understanding of financial services firms - key performance drivers, emerging technical and industry developments, general business/economic/regulatory developments and their impact to the client
• Leverage data, statistical and advanced analytical techniques to provide new insights into business performance issues for financial services firms, recommending the best technologies and implementations to help them monetise the data and accelerate their digital journeys
• Provide oversight on the delivery of data analytics projects leading teams, coach junior staff and regularly conduct trainings/knowledge sharing sessions on industry challenges and how analytics can help address those challenges
• Identify and capitalise on opportunities to expand business by building and executing on a pipeline of proactive propositions for financial services firms and capital markets clients. Assume ownership of key client relationships, identify revenue-generating opportunities and get involved in business development activities such as proposition development, proposal writing, pitch presentations, etc.
• Build global relationships and actively seek out the global networks best experts to address client needs
• Communicate compelling and well thought out solutions to complex problems
• Build constructive working relationships across different teams, functions, countries or cultures
• Ensure the firm's quality protocols / risk management requirements are implemented and complied with both internally and on client engagements
• Build relationships with other departments to deliver market and client focused business solutionsThe 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 brave decisions
• Cultivates a culture of resourcefulness and creative thinkingEssential Skills:
• Demonstrable expertise in providing analytical and data driven solutions to financial services to improve business/risk/regulatory performance. Experience of working with a tier 1 consulting firm or a large Financial Services Institution as a Data Scientist or Analyst is highly desirable
• Extensive experience of deploying advanced analytical techniques (such as statistical modelling, machine learning, NLP, predictive modelling, big data analytics, optimisation, simulation, forecasting, information retrieval etc.) to generate data driven insights
• Experience with best practises in analytical processing frameworks, data collection and management, developing cloud-first products using open-source programming languages (Python, Java) deployed via automated pipelines
• Experience across a range of analytical tools (Python, R, Jupyter Notebooks, GCP/AWS/Azure cloud applications, TensorFlow, AWS SageMaker, Azure DataBricks, Apache, Spark/Hive/Cassandra/Kafka/Nifi, Hadoop, Qlikview, Spotfire, Tableau, Excel (VBA, Pivot Tables), etc.)
• Proven experience working with cloud technologies and cloud native applications especially across Google (Bigtable, BigQuery, Stackdriver, Data Studio, Cloud Data Fusion, Cloud Machine Learning, Natural Language API, Anthos etc.), Amazon SageMaker and Microsoft DataBricks are highly desirable
• Proven experience working across a plethora of data sources - open source data, third party data, transactional data, PII data, structured/unstructured etc. - merging such to derive business insights
• Experience deploying models into production, with awareness of the challenges
• Familiarity with working in an agile, lean environment
• Has a collaborative approach, working with other members of imminent or extended team to innovate and create compelling data-centric stories and experiences. Also comfortable to communicate with a variety of stakeholders in the organization
• Strong leadership skills both on engagements and in an office environment
• A proven ability to lead complex engagements, manage and monitor budgets and financial performance
• Proven sales experience and ability to play an active role in the business development process
• Appreciation of growth areas in wholesale banking and capital markets and how analytics can be leveraged to create values for our clients
• Ability to spot opportunities to add value to clients and work with colleagues in other lines of service to help clients find solutions to the challenges they faceDesirable Skills:
• Hands on experience of building Artificial Intelligence and Machine learning/deep learning models
• Experience of using technology and analytics to design and implement RPA solutions
• Applied Statistics background
• Relevant professional qualifications (e.g. FRM, CQF or CFA) is a plus