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The role sits within our Decision Analytics/ Marketing Services/ Credit Services business, one of our four Global Business Lines.

Experian Decision Analytics helps clients achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information, analytics and strategy execution, we empower clients to optimize customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organizations.

Purpose of Role

This is a market-facing role responsible for driving sales and presales engagements with clients in the market. The success is to create innovative propositions combining Experian data assets and analytics to create value for our clients. This role is responsible for efficiently and effectively managing multiple and complex projects from concept to implementation on time, within budget and in line with client expectations.

Work that matters - What you’ll be doing

• Handle the delivery of multiple, complex analytics projects to clients from inception to completion
• Creating innovative propositions for clients combining Experian data assets and analytics know-how
• Consultative and persuasive sales for Experian products and propositions
• Open to hands-on modelling work
• Manage (small) projects to achieve milestones/manage & motivate project team to ensure quality deliverables
• Mentor and coach junior team members in the model development process
• Drive high standards of customer service and proactive client communication throughout the project term
• Proactively communicate project status and deliverables through the life of the project
• Ensure issues raised by the client are resolved in a timely and efficient manner
• Prepare and deliver structured model development/validation training courses to the SEA clients
• Flexible to travel to client locations on short notice for project delivery (30%)

Knowledge & Experience

• Up to 5-8 years’ experience in credit risk modelling across customer life cycle
• Strong programming skills in Python, SQL and SAS
• Thorough understanding of the Application/Behavior/Collection scorecard development process.
• Good understanding of PD, EAD and LGD model development & validation process.
• Thorough knowledge of the use and application of analytical methodologies Linear Regression, Logistic Regression etc.
• Thorough understanding of segmentation techniques CHAID, CART etc.
• Significant experience of statistical / analytics project work
• Experience of working in a financial services environment or Modelling department of International Banks
• Strong analytical skills.
• Excellent communication and interpersonal skills.

Qualifications

• Degree or equivalent standard, with a high numeric content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
• Graduate calibre, with formal project management skills/qualifications.

Your application will include the following questions:

• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as an Analytics Consultant?
• Which of the following programming languages are you experienced in?
• How many years' experience do you have using SQL queries?
• Do you have customer service experience?
• How many years of project management experience do you have?

Experian is the world's leading global information services company. During life's big moments - from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers - we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime. We have 22k people operating across 32 countries and every day we're investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity.