Data Scientist - Risk Platform

Cermati.com; Daerah Khusus Ibukota Jakarta; On-site; IDR 50.000.000 - 90.000.000; Full time

Job summary

An innovative firm is seeking fresh graduates to tackle complex challenges in credit risk analysis using machine learning techniques. This role involves collaborating with cross-functional teams to enhance existing frameworks and develop statistical models that drive business decisions. You will dive deep into data exploration, ensuring data integrity while optimizing predictive models. Join a dynamic team and gain hands-on experience with robust data infrastructure in a fast-paced environment. If you're passionate about data science and eager to make an impact, this opportunity is perfect for you.

Qualifications

• Fresh graduates with analytical skills are encouraged to apply.
• Experience with statistical languages and problem-solving is essential.

Responsibilities

• Optimize predictive models for credit risk scoring and analyze key metrics.
• Create reports and dashboards to monitor model impact and performance.

Skills

Data Manipulation

Statistical Modeling

Machine Learning

Problem-Solving

Communication Skills

Education

Bachelor's degree in analytical or quantitative discipline

Tools

R

Python

SAS

SQL

MS Excel

Job description

Job Description

We’re looking for fresh graduates with experience in manipulating datasets and building statistical models for credit risk by leveraging machine learning techniques. You will partner with business, product, and engineering teams to explore, determine, analyze, propose, and solve some of the most challenging business problems in lending and reduce risk. You will perform deep-dive exploration and analysis to find improvements in our existing framework. You will be submerged in a fast-paced environment working tightly in a strong team of data scientists and experience firsthand our robust data infrastructure.

Responsibilities

• Perform features selection, parameter binning, and optimize custom predictive machine learning models for credit risk scoring.
• Query, process, cleanse, and verify the integrity of data used for analysis.
• Analyze key metrics to determine risk and explore areas for improvements.
• Create reports and dashboards to monitor model impact and performance.
• Help build the variety of data ingredients needed to do modeling effectively.
• Maintain the credit risk model platform which is utilized by the team.
• Provide advice and guidance on potential efficiency gains and new state-of-the-art credit risk modeling methodologies.

Qualifications

• Bachelor's degree in an analytical or quantitative discipline (e.g. math, statistics, engineering, computer science); however, other disciplines will be considered.
• Experience in using statistical computer languages such as R, Python, SAS, SQL, or advanced MS Excel skills is a plus.
• Good communication skills and ability to work together in a team.
• Excellent problem-solving skills and the drive to learn and master new technologies and techniques.
• Willingness to learn new skills independently and have a strong sense of project ownership.
• Not afraid to get your hands dirty to explore data and build statistical models.