Lead Data Analyst IFRS9

An immediate opportunity has arisen for an experienced Lead Data Analyst IFRS9 to join our client, a leading financial service based in London

Key responsibilities of the Lead Data Analyst IFRS9 will include:
Design and implement data strategies and processes for IFRS9 projects taking into account stakeholder needs and technical strategy of the organisation
Provide insight and recommendations on best use of data and infrastructure to IFRS9 modelling team and other stakeholders
Lead interactions with technology teams and leaders, ensuring requirements are taken into account in decision making
Provide insight on infrastructure, process and data and develop innovative solutions to stakeholders to enable them to make informed decisions to IFRS9 modelling team
Building a cross functional network of contacts in Risk, Finance and Business teams within the bank - championing the sharing and adoption of best practice
Keep the stakeholder and senior management informed about any important developments or issues within the projects
Ensure processes are managed in line with key policy and SOX controls liaising with the governance, policy and SOX teams where necessary
Operate within defined governance and control frameworks and ensure compliance for in-scope processes to be audit-ready all the time
Regularly review controls to ensure on-going best fit, compliance and efficiency improvements can be implemented

The ideal Lead Data Analyst IFRS9 will possess the following attributes/skills:
A high level of analytical work experience (8+ years) in financial services strongly preferred.
Extensive knowledge of SAS, Rational Databases (Oracle, Teradata etc.), UNIX, Tivoli and other analytic toolsets.
Experience in consumer credit risk analytics across customer life cycle
Knowledge of financial services portfolios. Awareness of the economy, market and customer trends affecting the business.
Knowledge of Modelling specially in Basel, Capital and IFRS9 is highly desirable
Experience in working on Hadoop platform and tools such as Impala, Hive, Spark, Pig, etc. is a bonus
knowledge of Collections and Recoveries in customer life cycle
Experience with other analytical tools such as R, WPS and SPSS
Knowledge of SAP Business Objects is desirable but not essential
Familiar with Impairment, Advanced Internal Rating-Based (AIRB) modelling (PD, LGD and EaD) and Regulatory reporting
University degree in quantitative discipline is an advantage (eg Computer Science, Statistics, Operations Research, Economics and Engineering)

If you have similar Lead Data Analyst IFRS9 experience to that outlined above and are looking for a temporary opportunity within a progressive and dynamic environment, please forward your CV today.

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