Data Scientist

KINETIC INNOVATION PTE. LTD.; Singapore; Hybrid; SGD 100,000 - 125,000; Full time

Job summary

A financial technology company in Singapore is seeking a data analyst to conduct portfolio analysis and implement predictive risk models. The ideal candidate should have 1-3 years of experience in Python and SQL, with strong commercial acumen. This role offers growth in a collaborative environment and a competitive compensation package.

Benefits

Flexible, remote-first working arrangements

Opportunities for professional growth

Exposure to global markets

Competitive compensation package

Private healthcare employee insurance

Qualifications

• 1-3 years experience conducting portfolio analysis in Python and extracting/manipulating data in SQL.
• 1-3 years experience in consulting and/or start-up environments.
• Commercial acumen and an understanding of the economics underpinning credit or payments portfolios.
• Able to work autonomously and to display strong judgement and proactivity.

Responsibilities

• Use advanced analytics to monitor and assess portfolio risks.
• Build and implement predictive rules and models for risk assessment.
• Liaise with payments firms and insurers to shape market solutions.

Job description

Summary of the role

We’re looking for someone who is excited at the prospect of facing new and difficult data challenges. Someone who is comfortable working as part of a team who are building things from scratch. We’re looking for someone with deep technical skills, but who is really motivated by making an impact on our business and our customers.

Key Responsibilities

• Use advanced analytics alongside, where necessary account-level reviews to monitor and assess the portfolios of our partners to ensure we obtain and maintain a deep understanding of where the existing and emerging risks are coming from.
• Build, implement and monitor new predictive rules and models which help us expand our capabilities around accurately understanding the level of risk the merchants our partners are presenting.
• Liaise with various payments firms and insurers to understand their needs and help shape the solutions we bring to market.

Role Requirements

• 1-3 years experience conducting portfolio analysis in Python and extracting/manipulating data in SQL
• 1-3 years experience in consulting and/or start-up environments
• Commercial acumen and an understanding of the economics underpinning credit or payments portfolios
• Able to work autonomously and to display strong judgement and proactivity

Nice-to-Haves

• Experience with supervised models (e.g. logistic regression, gradient boosting) and unsupervised methods (e.g. clustering, anomaly detection).
• Experience in a role embedded within a risk team (could be fraud, credit or similar)
• Professional experience in the financial services industry
• LLM prompt management or agentic experience
• The ability to understand overall company economics and to read financial statements

Note: The nice-to-have qualifications are not mandatory but would be considered as additional strengths for the role.

Perks

• Flexible, remote-first working arrangements.
• Opportunities for significant professional growth and advancement within a company at the forefront of transforming risk management in payments.
• Globally-focused company, with exposure to Asian, European and American markets.
• A competitive compensation package, including company equity and performance incentives.
• Private healthcare employee insurance

Join Us!

At Envisso, we believe in the power of diverse teams to drive innovation. We are committed to fostering a collaborative, supportive, and inclusive environment. If you are ready to play a crucial role in shaping the future of payment risk management, we would love to hear from you!