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