Senior Data Modeler

Experian Group; Cyberjaya; On-site; MYR 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented individual to lead complex analytics projects. This role involves hands-on modelling work, mentoring junior team members, and ensuring high standards of customer service. The ideal candidate will have experience in credit risk modelling and be proficient in analytical programming languages such as SAS, Python, and R. Join a company that values diversity, innovation, and work-life balance, and be part of a team that empowers individuals to achieve their financial goals while transforming the data landscape. This is a fantastic opportunity to grow and make a significant impact in a supportive environment.

Benefits

Work-life balance

Diversity and Inclusion initiatives

Career development opportunities

Recognition programs

Flexible working hours

Qualifications

• Up to 5 years' experience in credit risk modelling across customer life cycle.
• Expert in analytical programming languages like SAS, Python, and R.
• Strong analytical and communication skills required.

Responsibilities

• Manage complex analytics projects from inception to completion.
• Mentor junior team members in model development process.
• Ensure timely resolution of client issues and proactive communication.

Skills

Credit Risk Modelling

Analytical Programming (SAS, Python, R)

Statistical Analysis

Customer Life Cycle Analysis

Communication Skills

Project Management

Data Handling

Segmentation Techniques

Machine Learning Techniques

Education

Degree in Mathematics

Degree in Statistics

Degree in Operational Research

Degree in Economics

Degree in Physical Sciences

Tools

Python

R

SAS

Job description

Company Description

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 also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Essential Duties and Responsibilities

1. Handle the delivery of multiple, complex analytics projects to clients from inception to completion
2. Open to hands-on modelling work
3. Manage (small) projects to achieve milestones/manage & motivate project team to ensure quality deliverables
4. Mentor and coach junior team members in model development process
5. Drive high standards of customer service and proactive client communication throughout the project term
6. Proactively communicate project status and deliverables through the life of the project
7. Ensure issues raised by the client are resolved in a timely and efficient manner
8. Prepare and deliver structured model development/validation training courses to the SEA clients
9. Flexible to travel to client locations on short notice for project delivery (30%)

Knowledge & Experience

1. Up to 0-5 years' experience in credit risk modelling across customer life cycle
2. Expert in any two analytical programming languages: SAS, Python, and R
3. Comfortable with large data sets
4. Thorough understanding of the Application/Behaviour/Collection scorecard development process
5. Thorough knowledge of the use and application of analytical methodologies: Linear Regression, Logistic Regression, etc.
6. Thorough understanding of segmentation techniques: CHAID, CART, etc.
7. Good understanding of PD, EAD and LGD model development & validation process
8. Significant experience of statistical / analytics project work
9. Experience of working in a financial services environment or Modelling department of International Banks
10. Strong analytical skills
11. Excellent communication and interpersonal skills

Qualifications

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

Additional Qualifications

• Hands-on experience processing and analyzing data by using tools such as Python, R, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good understanding of predictive model development (such as Credit risk models, Fraud models, etc.)
• A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
• Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time-series modelling, CHAID, CART, etc.
• Understanding of decisioning and portfolio management in banking and financial services would be an added advantage

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people-first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

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.

Experian Careers - Creating a better tomorrow together