Job Description

About the Role

We are hiring a

Quantitative Risk Strategy Analyst

to join a fast-growing fintech building risk intelligence and financing infrastructure for global trade and supply chain ecosystems. This role is hands-on and highly analytical -- ideal for someone who enjoys building models, analysing data and shaping risk strategies that support real commercial decisions.


You will join a lean, high-performing team where you will have

ownership and visibility from day one

, with the opportunity to

grow into a senior or lead role

over time.

Key Responsibilities

Develop and enhance

quantitative risk models

across credit risk, portfolio risk and exposure assessment Perform

exploratory data analysis (EDA)

and statistical testing to generate meaningful insights Design and implement

predictive modelling frameworks

using Python Build

risk scoring mechanisms, default probability models and portfolio monitoring tools

Translate business problems into

data-driven risk frameworks

Collaborate with risk, product and business stakeholders to support model deployment Document modelling methodology, assumptions and performance tracking

Requirements

2-6 years

of experience in

risk analytics, quantitative analysis, modelling or data science

Strong programming skills in

Python

(Pandas, NumPy, SciPy, scikit-learn) Hands-on experience working with

real datasets

and developing

statistical or machine learning models

Strong foundation in

probability, statistics, linear algebra or econometrics

Experience in

credit risk or portfolio risk analytics

Able to

work independently

to explore datasets and build models from scratch Degree in

Mathematics, Statistics, Data Science, Financial Engineering, Computer Science, Economics or related field

Bonus

Experience in

trade finance, SME/business lending or supply chain finance risk

Familiarity with

model validation, scorecard development or risk policy

Experience with

SQL, data wrangling or pipeline building

Exposure to

risk strategy or quantitative decisioning frameworks

Why Join

High-impact quantitative role in a

real business environment

Opportunity to shape

risk strategy using data and models

Fast career progression

in a lean and growing team Cross-functional exposure across

risk, product and commercial teams

Strong learning environment and

regional fintech exposure

EA Personnel: Sim Ee Targa


EA Reg ID: R1102530


EA Licence No.:24C2359