FinTech Data Analyst (IFRS 9/Credit Risk)
Quick facts
- Pay
- 400,000–800,000 INR/project
- Type
- Contract
- Location
- Remote
- Experience
- 1+ years
- Skills
- Python
- Platform
- Globik AI — 100 open jobs
- Payout
- Not published by Globik AI
- Apply
- Free to apply — never pay to get AI training work
Globik AI is looking for a FinTech Data Analyst with expertise in IFRS 9 and credit risk modeling. This full-time, remote role involves translating FinTech and credit risk model requirements into clear data needs, recommending data approaches, and supporting the development of high-quality financial datasets for AI applications.
You will work at the intersection of finance, data science, and AI — breaking down complex requirements involving borrower, loan, financial, and macroeconomic data to support cutting-edge AI model development in the financial services domain.
Responsibilities
- Translate FinTech and credit risk model requirements into clear data needs
- Break down requirements involving borrower, loan, financial, and macro data
- Recommend appropriate data approaches: synthetic generation, hybrid datasets, or public/licensed sources
- Identify and evaluate data sources (Federal Reserve, FDIC, FRED, SEC, industry datasets)
- Define dataset structure, schema, and assist with preparation/validation
- Participate in client discussions explaining data strategy and methodology
- Support proposal and documentation creation for data-driven projects
Qualifications
- Minimum 1 year experience in FinTech, BFSI, or financial data domains
- Understanding of credit risk concepts: IFRS 9/CECL, PD, LGD, EAD
- Experience with public datasets, financial/economic data, and synthetic data generation
- Strong data modeling conceptual knowledge
- Analytical thinking with ability to question and validate assumptions
- Excellent written and verbal communication skills
- Ability to discuss technical concepts with non-technical stakeholders
- Exposure to banking, lending, or financial regulatory environments
Compensation Structure:
- Fixed Pay: ₹2,00,000 - ₹5,00,000/year
- Variable Pay: ₹2,00,000 - ₹3,00,000/year
Work Schedule: 5 days per week, remote
Preferred Qualifications:
- Experience with Federal Reserve, FDIC, FRED, or SEC datasets
- Background in financial modeling or quantitative analysis
- Familiarity with Python/R for data analysis
- Self-learning ability and adaptability in a fast-paced startup environment
Pay
400,000–800,000 INR/project