Senior Analyst - Credit Risk
Senior Analyst â€“ Credit Risk Global Opportunities â€“ for the travel bugs out there Flexible work arrangements â€“ work in a way that suits you best Impact day â€“ we roll up our sleeves to help non-profit organisations make a difference Are you an Analytics or credit risk management professional looking to join a market leading Financial Risk team? What will your typical day look like? As a Senior Analyst in the Credit Risk team, you will work with a wide range of credit providers who are looking to improve their practices using analytical techniques, and reporting, and advice. You will work on the issues that matter to the industry, including Comprehensive Credit Reporting, Open Banking, Responsible lending and the continuous improvement of current credit risk management practices. Using your outstanding analytical abilities, you will: Use your statistical model building skills to develop credit decisioning models, capital models and IFRS9 models.
Use your knowledge of credit to undertake reviews of client processes to identify areas for improvement. Increase a clients ability to use their data by building Analytical Datamarts for data driven projects Improve the Model Management lifecycle though the automation of Model Monitoring process and advising on local and international industry better practices. Produce data driven insights to enhance the management of clientâ€™s credit portfolios.
Receive structured training and mentoring tailored to help you reach your potential - you're never on your own. Support, mentor and inspire junior members in the team. About the Team Welcome to Deloitte Financial Risk â€“ we are a local team with approachable partners that are considered leaders in our industry.
We have a mix of experienced statisticians, data analysts, data scientists and consultants that help our clients continue to improve their financial risk management practices using data driven insights, our considerable industry experience and a client focused mindset. Enough about us, letâ€™s talk about you. You will have: Bachelor degree or higher qualification in Statistics, Mathematics, Data Science, or IT preferred, or equivalent field(s).
A solid technical grounding in SAS, R Programming, Python, or SQL. Experience in any of the following: Portfolio analytics. Credit strategy management Acquisitions Portfolio Management Collections Developing/Validating/Monitoring Credit Risk Models Portfolio Stress Testing Experience in working with data from financial systems Strong attention to detail and thoroughness in following systems and procedures A proactive mindset and approach are a must, as is a curious mind and a thirst to learn.
An ability to turn data into information via a story. An understanding of the appropriateness of applying rules-based analytics and data-driven analytics. Industry experience, including but not limited to: Banking Financial Services Telco/Utilities Credit Bureaus Experience in visual c....