Graduate Talent Program -Data Analytics (12 months) - January - February Intake

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Experian (Malaysia) Sdn Bhd
Cyberjaya
MYR 100,000 - 150,000
Be among the first applicants.
7 days ago
Job description

Graduate Talent Program - Data Analytics (12 months) - January - February Intake

We are looking for a Data Modeller to help us unlock our vast amounts of data via effective modelling and advanced analytics, enabling us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems and automated scores using machine learning, integrated with our products. You will also be supporting our business teams, pre-sales, and analytics to ensure optimal product creation.

Ideally suited to someone who has 1 - 3 years’ experience in the core analytics function of a large bank or consulting firm and with experience in handling large data volumes using data analysis tools and generating good data insights.

What you’ll need to bring to the Team

  • You’ll need to be a curious problem solver who can get a question and use data to answer it in a clear and straightforward way.
  • You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
  • We want you to be excited by the prospect of working with large and diverse datasets using cutting-edge techniques such as AI, machine learning, and deep learning.

What you’ll be doing

  • 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.
  • You’ll play an integral role to engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solutions.

More about you

  • Hands-on experience processing and analyzing data 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.

Why this role is critical to us

  • Our business thrives on our ability to leverage data and advanced analytical capabilities, so you’ll have an important mission.
  • Pinnacle appointment in our broader targeting solutions product development team.
  • Your knowledge of cloud and Big Data Analysis along with agile development will be used to the max!

Why us

  • We’re a high-performance and driven team but we don’t forget to celebrate success.
  • We offer strong career and international opportunities for high performers.
  • We invest heavily in our products and our people.

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 a Data Modeller?

Computer Software & Networking - 101-1,000 employees

Experian is the world's leading global information services company. 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, 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 maximise every opportunity.

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