Risk Analytics & MIS Specialist

About Atome Financial Headquartered in Singapore, Atome Financial is a consumer business unit under Advance Intelligence Group. The products under Atome Financial include: Atome: A leading buy now pay later brand in Asia Pacific which is currently present in 10 markets and partners over 15,000+ top retailers. Key merchant partners include ZALORA, Sephora, Agoda, SHEIN and Zara. Kredit Pintar: One of Indonesia's top digital lending apps, regulated and supervised by Indonesia's Financial Services Authority (OJK). Over 10 million downloads, 2 million customer reviews and with a 4.4-star rating on Google Play Store. As part of the Advance Intelligence Group, a Series-D company and ranked No. 1 on LinkedIn's 2021 Top Startups List in Singapore with over 2,000+ 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. Our culture is built on values that are core to who we are and what we stand for:

1. We foster an INNOVATION mindset
2. We achieve results with EFFICIENCY and excellence
3. We take pride in the QUALITY of our work
4. We uphold INTEGRITY in all we do
5. We embrace COLLABORATION to work across business lines and borders

Job Description :
1.    Enable business intelligence with the development and maintenance of risk dashboards, analytics exercises, test and modelling, to support business growth, portfolio quality and operational productivity improvement.
2.    Collaborate with stakeholders to ensure the availability, integrity and quality of the data and reporting for internal, regulator and various funding partners.
3.    Escalate key risk issues to Senior Management to allow timely risk mitigation.
4.    Optimize utilization of various alternative data sources to improve credit quality.
5.    Support system parameter changes, rule engine strategy, data warehouse, reporting automation and other ad hoc projects.

Job Requirements:
1.    Bachelor’s / Master’s Degree in Computer Science/IT/Statistics/Engineer/ Mathematics / Statistics / Actuary or any other related fields.
2.    At least 2 years’ experience in business intelligence analytics, preferably in unsecured loan / financing (credit card, personal loan, paylater).
3.    Proficient in writing SQL queries and python or other data science programming language.
4.    Knowledge / experience in working with / development of credit scores. 
5.    Strong communication and presentation skills, as well as an analytical mindset.
6.    Fluent in written & oral English.
7.    Willing to take on new challenges and work in a fast-paced environment.

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