About Atome Financial
Headquartered in Singapore, Atome Financial is building a world-class tech-enabled financial services platform that is the best companion of our customers lifetime. As a part of the Advance Intelligence Group, a Series D fintech unicorn and ranked Top 10 on LinkedIn's 2023 Top Singapore StartUps list with over 1,400+ staff worldwide, we are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues, and communities.
Atome Financial operates in 5 ASEAN markets (Singapore, Malaysia, Indonesia, the Philippines, and Thailand). We have 3 key products:
- Atome BNPL: A leading buy now pay later brand in ASEAN and partners over thousands of online and offline brands
- Atome Card: A paylater anywhere card.
- Kredit Pintar: A leading Indonesian digital lending apps, regulated and supervised by Indonesia's Financial Services Authority (OJK).
Our culture is built on values that are core to who we are and what we stand for:
- We foster an INNOVATION mindset
- We achieve results with EFFICIENCY and excellence
- We take pride in the QUALITY of our work
- We uphold INTEGRITY in all we do
- We embrace COLLABORATION to work across business lines and borders
Join the core team shaping the future of unsecured lending. Use your technical prowess and linguistic skills to bridge global risk strategies.
Job Description
- Strategic Modeling: Optimize portfolio quality and business growth through rigorous risk analysis, stress testing, and predictive modeling for unsecured retail products.
- The Data Bridge: Ensure seamless data integrity and reporting for internal stakeholders, regional HQ (utilizing Mandarin proficiency), and regulatory partners.
- Assist system parameter changes, rule engine strategy management, development of reporting automation & dashboards, and other ad hoc projects.
- Organize documentation and log of risk strategy changes.
- Escalate key risk issues to Senior Management to allow timely risk mitigation.
Job Requirements
- Technical Toolkit: Proactive expertise in SQL and Python/R is essential.
- Academic Background: Degree in a quantitative field (Math, Stats, CS, Actuarial Science, or Engineering).
- Bilingual Communication: Fluency in English is required; professional proficiency in Mandarin is highly preferred for collaborating with regional stakeholders.
