Analytics & Modelling Insights Data Analyst / Modelling Assurance - Banking
Looking at progressing your Analytics and/or Modelling career by partnering with world-renowned banking clients helping them to optimise the power of their data and/or models to solve complex business challenges. Park of a market-leading team who are growing rapidly due to their expertise being in huge demand and successfully delivering high quality results.
Responsible for delivery across a range of analytics or data or modelling offerings within financial services.
•Providing analytics or data or modelling services through the use of software such as SQL, Python, Tableau, SAS, Power BI, Alteryx, R and VBA to deliver meaningful insight to clients and help them to understand the risks and key drivers for their business
•Working with clients to provide analytics and modelling assurance services including model testing, challenger model development, model risk governance framework design, data analysis and quality reviews, report generation and visualisation
•Development and delivery of new and innovative analytics tools to support evolving regulatory requirements
•Working in conjunction with audit teams to integrate analytics and modelling offerings into the external audit approach
Experience required includes:-
•Bachelor's degree, preferably in a quantitative field ie maths, physics, statistics, computer science or engineering
•Experience of working in an analytics or modelling team in the financial services industry within a professional services or FTSE 350 firm
•Advanced technical experience with programming languages such as Python, SQL, VBA, Tableau, Power BI, Alteryx, R, or SAS
•Exceptional analytical capabilities and a passion for problem solving
•An eye for detail, and a structured and thorough approach to delivering high quality output
•Proactive with a desire to continue to learn and develop both quantitative and qualitative skills
To enhance your analytics and modelling career, work across a vast range of banking and financial services clients and progress your career through learning and development, please apply to [email protected] or call her on 01256 314660.