Lead/Senior Research Analyst (Data Science) at Central Provident Fund Board
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

28 Apr, 25

Salary

9600.0

Posted On

28 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Python, Statistical Software, Research, Data Analysis, R, Mastery, Quantitative Models, Stata, Accountability

Industry

Information Technology/IT

Description

WHAT YOU WILL BE WORKING ON

Our Research and Analytics Department deploys advanced data science methods to unlock the potential of data for the Board. The team is dedicated to delivering value to internal customers, expanding capabilities to push boundaries, and using data more pervasively in the Board. The team possesses a diverse range of skillsets, from predictive analytics to econometrics and operations research, and is not confined to specific quantitative specialties.
As part of the team, you will drive new applications of data science through the novel use of established methods, as well as learn and apply new data science techniques. You will collaborate with diverse teams within the Board, ranging from scheme implementers to policymakers and corporate service providers, to translate their business needs into actionable data projects. Your primary objective will be to apply your expertise to assist in making data-driven decisions and enhancing the effectiveness of their processes. Your projects and insights will be presented to the Board’s senior leadership and publicised throughout the Singapore Government.

Responsibilities

WHAT THE ROLE IS

At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.
We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn’t just valued; it’s essential. Every choice you make contributes to our collective success.
Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.
Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.
At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.
Join us at #TeamCPF! Together, let’s redefine possibilities and leave a legacy that echoes for generations.

IN THIS ROLE, YOU WILL

  • Conduct predictive analytics to automate manual processes, assess the retirement landscape, and perform more targeted outreach.
  • Utilise and customise large language models to streamline language-related processes such as correspondence routing and writing assistance.
  • Perform simulations and econometric studies to advance policy innovations aimed at improving the retirement adequacy of CPF members.
  • Analyse randomised controlled and natural experiments to enhance communication strategies with CPF members.
  • Utilise cluster analysis to identify groupings of CPF members for targeted policy and outreach interventions.
  • Optimise processes using methods such as operations research and reinforcement learning.
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