Do you want to work for a truly global bank with universal coverage in banking products and services? Do you want a central role at the heart of risk analytics, analysing and interpreting data for senior managers across the bank? Do you have the advanced technical and analyical skillset necessary to take on such a strategic data-driven role? If so, then this is the role for you...
Prestigious employer with a globally-respected brand
Generous annual leave entitlement
Opportunity to occupy central strategic role in Global Risk Analytics
Generous company pension scheme
You will be a highly-effective and valuable member of a growing function that performs quantitative and qualitative analytics across a broad range of information/data sets of varying reliability, in order to identify risk intelligence and inform risk decision-making. The role demands the independent interpretation of varied data sources for the purpose of search and extraction, in addition to the cleansing, structuring and analysis of data sets generated. You will be supporting the development and maintenance of models and methodologies for risk management. Appropriately calibrated and applied risk models helps ensure that risk is more accurately quantified and allocated. This in turn leads to more appropriate risk-return analysis for the business. The core objectives of the role are:
Development of an efficient, sustainable process to provide data required for risk model development and on-going validation
Development of centralized processes to improve operational efficiency and reduce the risk of data duplication or inconsistent processing by analysts.
Working with project leaders in the review and improvement of the existing suite of models and methodologies.
Participating in projects aimed at aligning methodologies, governance and policies around the bank
Occupying a central role in the re-development and monitoring of risk models
Supporting the development of a risk and control framework, contributing to the definition and maintenance of appropriate governance, policies, methods, standards and processes around the development of models.
Supporting interactions and dealings with internal control functions and external regulatory bodies in relation to risk models
Ensuring globally consistent processes
Enhancing data processes to allow more efficient model validation and development
Lead the identification of data sources and obtaining appropriate access
Performing data extraction, aggregation, analysis, and quality checking from multiple data sources using platforms such as SQL, SAS, Hive, Python, etc.
Performing ad hoc ETL processes using different tools such as Pentaho, SAS DI etc;
Applying statistical analysis techniques (significance, variance, correlations, decision trees/regression etc.) within analytic programming languages (e.g. Base SAS, Hive, Beeline etc.), hadoop interface tools and visualization tools;
Applying context to produce meaningful and actionable intelligence outputs;
Ongoing development of these techniques and models to improve overall performance.
Lead analysis on individual projects and drive their implementation, sourcing qualitative inputs from peers
Engaging with statistician teams during the formulation, implementation, testing and validation of predictive models
Contributing to the development of business cases and data strategies
Contributing to analyses that assist management decision in relation to leveraging technical and analytical skills
Formal documentation of data sources and any processing for sign off
University degree in computer science, financial crime or related fields
Proven and progressive experience in financial services data analysis and/or application development
4/5 years' experience in the financial services industry
Excellent communicator with strong inter-personal and influencing skills
Lateral thinker with an ability to interpret and solve complex issues
Experience of dealing with regulatory matters and confident interaction with Regulators
Ability to develop practical, cost effective solutions to complex global issues
Experience across a range of analytical tools (Hadoop, Beeline, Hive, Excel (VBA, Pivot Tables), Tableau, Pentaho, Python, Qlikview, etc)
Problem-solving and Analytical skills
Strong ability to quickly grasp and understand business unit specific risks, develop comprehensive user requirements, and provide recommendations for appropriate automated solutions to mitigate those risks
Click APPLY now, submitting an up to date CV. Alternatively contact Matt McLaren on 020 7786 6917 for more information.
We are seeking to arrange interviews ASAP, so please don't delay!
Randstad Financial & Professional encourage applications from individuals of all ages & backgrounds. Appointment will be made on merit alone but candidates must be able to demonstrate their ability to work in the UK. Randstad Financial & Professional acts as an employment agency for permanent recruitment & an employment business for temporary recruitment as defined by the Conduct of Employment Agencies & Employment Business Regulations 2003
Internal Number: 4933368
About Randstad Financial & Professional
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