Risk Data Scientist - Financial Services

Flip.id; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

An innovative entity within a leading financial platform is on the lookout for a skilled Data Scientist. This role involves leveraging your expertise in machine learning and AI to develop predictive models that enhance the lending process. You'll be instrumental in transforming data into actionable insights, optimizing product development, and enhancing business strategies. If you have a passion for data and a strong background in statistics, this is your chance to make a significant impact in a dynamic and customer-centric environment. Join a team that values your insights and encourages your growth in the rapidly evolving financial landscape.

Qualifications

• 5+ years experience in end-to-end ML/AI model creation.
• Strong fundamentals in statistics and data visualization.

Responsibilities

• Support lending business with predictive models using ML/AI.
• Mine and analyze data to drive product development and strategies.

Skills

Machine Learning

Artificial Intelligence

Statistics

Data Analysis

Communication Skills

Tools

Python

SQL

Tableau

Superset

Job description

Lentera Inspirasi Pembiayaan (LIP), an entity of Flip, is building the fairest and most customer centric multi-finance platform in Indonesia.

We are seeking an experienced Data Scientist that will support the risk department by building ML/AI-based models to assist underwriting and other aspects of lending business, delivering statistically driven and actionable insights, and designing efficient reporting frameworks. The ideal candidate will have a strong background in ML/AI modeling, statistics, and analytics within a financial or multi-finance environment.

Key Responsibilities:

1. Support the lending business by providing expertise in the form of predictive models using ML/AI.
2. Define problems and hypotheses, develop recommendations and decision support tools to increase business value.
3. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
4. Be able to clearly communicate findings and ideas to technical or non-technical teams in Indonesian and English.

Qualifications:

1. Have a minimum of 5 years of experience in creating end-to-end ML/AI models from data cleansing, feature engineering, to model monitoring.
2. Strong knowledge fundamentals in statistics.
3. Able to communicate ideas in English fluently.
4. Familiar with data visualization tools such as Tableau, Superset, etc.
5. Proficient in Python and SQL.

Preferred Qualifications:

1. Knowledge in credit scoring, risk profiling, or underwriting in the multi-finance industry.
2. Experience with Machine Learning Engineering concepts is a plus (model deployment, parallelization, etc).