Strategic Quant Analytics Lead | Data Science & Modelling

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

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.