Senior Credit Risk Data Scientist – Banking & Scoring

Digifloat; Abu Dhabi; On-site; AED 223,200 - 334,800; Full time

Job summary

Digifloat is looking for an experienced Data Scientist in Abu Dhabi, specializing in credit risk analytics within the banking sector. The ideal candidate will leverage their 6–8 years of experience to develop and implement credit risk models, analyze data, and work with cross-functional teams to optimize risk strategies. Proficiency in Python, R, SQL, and hands-on knowledge of credit-related use cases are essential. Applicants should be ready to ensure model accuracy and compliance with banking standards.

Qualifications

• 6–8 years of experience in Data Science, preferably in banking.
• Hands-on experience in credit risk, loans, scoring, or underwriting models.
• Expertise in statistical modeling, machine learning, and predictive analytics.

Responsibilities

• Develop and implement credit risk models for lending and risk decision-making.
• Analyze large datasets to derive actionable insights.
• Collaborate with teams to translate requirements into data-driven solutions.

Skills

Credit risk analytics

Statistical modeling

Machine learning

Predictive analytics

Analytical thinking

Problem-solving

Tools

Python

R

SQL

Data visualization tools

Job description

Digifloat is looking for an experienced Data Scientist in Abu Dhabi, specializing in credit risk analytics within the banking sector. The ideal candidate will leverage their 6–8 years of experience to develop and implement credit risk models, analyze data, and work with cross-functional teams to optimize risk strategies. Proficiency in Python, R, SQL, and hands-on knowledge of credit-related use cases are essential. Applicants should be ready to ensure model accuracy and compliance with banking standards.