Analytics Consultant - Credit Risk Decisioning
Full-time Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We have a new vacancy for an experienced Analytics Consultant to join our Analytics team and support our cloud-based Ascend platform. You will partner with clients to understand their business, identify what data is required, and how clients can best use Experian data analytics to improve business outcomes. Responsibilities include: Design analytics solutions to client's problems in any area of consumer lending and credit risk management, using Experian analytics solutions. Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with expertise in credit risk modelling and optimisation techniques. Present proposals to clients for analytics solutions, including recommendations. Provide consultancy on the potential 'bigger picture' strategies. Co-ordinate with Experian's Analytics Pre-Sales team to contribute to sales opportunities and support the conversion of sales prospects. Minimum Requirements: Strong analytical modelling and consultancy experience gained in credit risk management or banking sector as a Consultant, Data Scientist or Machine Learning Engineer. Applied modelling and analytics experience to lead business decisions. Expertise in credit risk decisioning. Deep coding knowledge in Python with SAS or R. Subject matter expert on the mechanics of consumer lending (risk, data usage, outcomes). Knowledge of Cloud / AWS. Product strategy experience desirable but not essential. Benefits package includes: Great compensation package. Core benefits include pension, Bupa healthcare, sharesave scheme and more. 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-DSI #LI-Hybrid Experian Careers - Creating a better tomorrow together
#J-18808-Ljbffr
Full-time Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We have a new vacancy for an experienced Analytics Consultant to join our Analytics team and support our cloud-based Ascend platform. You will partner with clients to understand their business, identify what data is required, and how clients can best use Experian data analytics to improve business outcomes. Responsibilities include: Design analytics solutions to client's problems in any area of consumer lending and credit risk management, using Experian analytics solutions. Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with expertise in credit risk modelling and optimisation techniques. Present proposals to clients for analytics solutions, including recommendations. Provide consultancy on the potential 'bigger picture' strategies. Co-ordinate with Experian's Analytics Pre-Sales team to contribute to sales opportunities and support the conversion of sales prospects. Minimum Requirements: Strong analytical modelling and consultancy experience gained in credit risk management or banking sector as a Consultant, Data Scientist or Machine Learning Engineer. Applied modelling and analytics experience to lead business decisions. Expertise in credit risk decisioning. Deep coding knowledge in Python with SAS or R. Subject matter expert on the mechanics of consumer lending (risk, data usage, outcomes). Knowledge of Cloud / AWS. Product strategy experience desirable but not essential. Benefits package includes: Great compensation package. Core benefits include pension, Bupa healthcare, sharesave scheme and more. 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-DSI #LI-Hybrid Experian Careers - Creating a better tomorrow together
#J-18808-Ljbffr
