Senior Data Scientist

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Roles & Responsibilities

Roles & Responsibilities

We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. Digibank is a Grab-Singtel consortium, aimed at enabling the underserved groups to easily access transparent financial services that are embedded in their everyday activities, helping them achieve a better quality of life. We are incredibly excited to build a Digital Bank with the right foundation using data, technology and trust to solve problems and serve customers

Get to know the Role :

• Develop and deploy analytical solutions across a variety of business functions, including, but not limited to : customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within Digibank for both retail and wholesale banking customers
• Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance.
• Interface with business, risk & operation teams across the bank to formulate solutions & product changes informed by your findings and business inputs / reality.
• Work independently or in a team to solve complex problem statements.
• The day-to-day activities : Build predictive models using a mix of machine learning and traditional analytics methods.
• Validate models on new datasets, based on in-market performance.
• Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix.
• Track model performance KPIs and improve performance of analytic models developed
• Stay current on cutting edge machine learning tools and approaches.

Must Haves :

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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