Quantitative Analyst

SUMMARY:
Ready to Turn Data Into Decisions That Matter? Join Us as a Quantitative Analyst!

Are you the kind of person who sees patterns others miss? Do you get excited about finding elegant, data-driven solutions to real-world challenges? If you thrive on using numbers to solve complex problems and want your work to actually make an impact — we want you on our team.

POSITION INFO:
What You’ll Be Doing (Spoiler: It’s Not Just Crunching Numbers)

• Build and deploy predictive models and intelligent algorithms that shape business strategy.
• Use powerful tools (Python, R, SQL) to transform messy data into clean insights.
• Partner with cross-functional teams to solve pricing, risk, and customer behaviour puzzles.
• Apply regression, time-series, machine learning — and your brain — to find answers.
• Build scorecards, forecast trends, fine-tune strategies… and make people say “Why didn’t we think of that sooner?”

• A degree in Mathematics, Statistics, Data Science, Actuarial Science or a similar field.
• 2–4 years of hands-on modelling or quantitative analytics experience.
• Solid skills in Python, R, SQL — and maybe even a few data viz tricks up your sleeve (Power BI, Tableau).
• Fluency in stats and machine learning concepts — and the ability to translate them into human.
• Business savvy that helps you connect numbers to real-world outcomes.

• Experience in credit risk, financial modelling, or collections.
• Worked in cloud environments like AWS or Azure.
• Played around with optimisation and simulation models for fun (or profit).

• Work with big data, big thinkers, and bigger opportunities.
• Build models that go into action — not just into a drawer.
• Enjoy real career growth, continuous learning, and the freedom to challenge the status quo.
• Be part of a supportive, fast-moving team where your voice counts and your work drives real change.