Corporate Strategy - Quantitative Analyst/Consultant

Singapore Pools; Singapore; On-site; SGD 60,000 - 80,000; Full time

Benefits offered by this job

Medical Insurance

Staggered working hours

Job summary

Singapore Pools is seeking a passionate Assistant Manager to join the Corporate Strategy team in Singapore. The successful candidate will focus on developing bespoke analytical frameworks and strategic plans that align with the company’s vision.

Applicants should possess a postgraduate degree in a quantitative field and proven experience in applying advanced modelling techniques. Strong proficiency in Python and a solid foundation in statistical analysis are essential. This position offers staggered working hours and medical insurance.

Qualifications

• Relevant experience applying probability, optimisation, and simulation models to complex, large-scale business and regulatory problems.
• Strong ability to translate business objectives to mathematical formulations and actionable models.
• Solid grounding in statistics, stochastic processes, forecasting, and risk modelling, with emphasis on validation and interpretability.

Responsibilities

• Identify, formulate, and prioritise complex business analytics use cases.
• Lead the development of bespoke analytical frameworks and models.
• Develop, implement, and maintain production-grade models and code.
• Support development of Singapore Pools' in-house analytics capabilities.

Skills

Data science and modelling

Strategic implementation

Statistical analysis

Problem formulation

Risk modelling

Python programming

Education

Postgraduate degree or PhD in Applied Mathematics, Statistics, Data Science, Operations Research, Business Analytics

Tools

Python

PySpark

Job description

We are looking for a passionate and professional Assistant Manager to join our Corporate Strategy team.

Based in Singapore and reporting into the Senior Manager, the incumbent will lead the end-to-end development of bespoke analytical frameworks and develop strategic plans for the company.

However, we also recognize that each individual has a unique blend of skills. Whether your strength is in data science and modelling or in strategic implementation, we want to talk to you.

What You’ll Do

• You will identify, formulate, and prioritise complex business, regulatory, and strategic analytics use cases.
• You will lead and contribute to end‑to‑end development of bespoke analytical frameworks and models.
• You will perform problem formulation, data preparation, model design, validation, simulation, and performance assessment.
• You will develop, implement, and maintain production‑grade models and code.
• You will work with functional departments to translate business problems into well-defined use cases and demonstrate the value of implementing analytic projects.
• You will support development of Singapore Pools (SPPL)'s in‑house analytics capabilities.
• You will implement structured analytical and modelling methodologies.
• You will productionise, maintain, and scale analytics solutions.
• You will disseminate analytics knowledge and best practices within the team and business users.
• You will support the identification of opportunities aligned with SPPL's long‑term strategic vision.
• You will collaborate with regulators, industry partners, and international lottery operators on strategy‑led initiatives.
• You will apply analytics and modelling to support strategy implementation where relevant.

Who You Are

• Postgraduate degree or PhD in Applied Mathematics, Statistics, Data Science, Operations Research, Business Analytics (Marketing/Finance/Economics), or a related quantitative field.
• Relevant experience applying probability, optimisation, and simulation models to complex, large‑scale business and regulatory problems.
• Strong ability to translate business objectives to mathematical formulations and actionable models.
• Solid grounding in statistics, stochastic processes, forecasting, and risk modelling, with emphasis on validation and interpretability.
• Strong proficiency in Python for quantitative modelling, simulation, and data analysis.
• Experience building statistical/analytical models on large transactional data using Python/PySpark.
• Staggered working hours
• Medical Insurance