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About JULO

JULO (www.julo.co.id) is a digital lending company that is revolutionizing access to financial products for millions of emerging consumers in Indonesia. The Company has developed the first digital data-driven credit underwriting and risk assessment platform to process consumer loan applications and determine their creditworthiness using its mobile app.

Established in late 2016, JULO deployed its lending platform in Jakarta and surrounding cities, and the Company is about to enter a hyper-growth period. Expansion to the rest of Indonesia is expected to complete within a year. JULO is based in Jakarta and is backed by leading venture capital firms in Indonesia and Singapore.

Job Description

• Assisting Data Scientists in planning, developing, and deploying machine learning models and advanced analytics solutions to solve a wide array of business problems

• Provide assistance in managing & bridging data processing needed for modeling to be as effective and efficient as possible

• Continuously improve the data flow of our models, and monitor model performance in production systems closely.

• Tackle complex problems requiring a creative mindset to find innovative and elegant solutions

• Develop a culture of highly reproducible work, attention to detail, quality of work, and getting solutions to production quickly

The Successful Applicant

• Min. 3 years of experience within DS/ML practice

• Experienced with Cloud Infra, Python, SQL, Airflow, MLflow, FiSt feature store (cust flow) is a plus

• Preferably coming from either DS or DE background with a complex understanding of building ML Ops infrastructure

• Plus point if candidate has Credit Scoring/Risk Modeling experience

What's on Offer

• Chance working with a well-known Fintech startup

• Competitive salary & benefits, including team engagement events

• Working from Anywhere arrangement, following team's arrangement