FinTech Data Analyst (IFRS 9/Credit Risk)

Overview

About the job:

We are looking for a data-driven problem solver who can understand complex FinTech model requirements, translate them into clear data needs, and work closely with clients and internal teams to design the right dataset strategy.

This role is not limited to data cleaning or analysis. You will be expected to think at a solution and architecture level, including evaluating real vs synthetic data, hybrid approaches, and identifying appropriate public, semi-public, or licensed data sources.

Key responsibilities:

1. Understand client requirements related to FinTech, credit risk, IFRS 9, and financial modeling
2. Break down model requirements into clear data requirements (borrower, loan, financials, macro, defaults, etc.)
3. Recommend the most suitable data approach:
a) Synthetic data generation
b) Hybrid datasets (real benchmarks + synthetic records)
c) Public/semi-public/licensed data usage
4. Identify and evaluate data sources (e.g., Federal Reserve, FDIC, FRED, SEC, industry datasets)
5. Work closely with internal teams to:
a) Define dataset structure and schema
b) Assist in dataset preparation and validation
c) Participate in client discussions to explain data strategy and approaches
6. Support creation of execution plans, proposals, and documentation

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience

Salary:

₹ 4,00,000 - 8,00,000 /year

Experience:

1 year(s)

Deadline:

2026-03-04 23:59:59

Other perks:

5 days a week

Skills required:

Finance, Strategy, Analytical Thinking, Problem Solving, Technical Analysis, Coordination, Banking, Data Interpretation, English Proficiency (Spoken), English Proficiency (Written), Artificial intelligence, Interpersonal skills, Research and Analytics, Data Analysis, Data Preparation, Data Extraction, Artificial Intelligence Markup Language (AIML), Risk Assessment and Self-learning

Other Requirements:

1. Exposure to FinTech, BFSI, or financial data

2. Basic understanding of: Credit risk, IFRS 9/CECL, PD, LGD, EAD concepts

3. Experience working with: Public datasets, Financial or economic data, Synthetic data or simulations

4. Strong understanding of data concepts and data modeling

5. Ability to think analytically and ask the right questions

6. Good communication skills (written and verbal)

7. Comfort in discussing technical concepts with non-technical stakeholders

About Company:

Globik AI is a global AI and data service company across modalities and domains, building the data backbone for the most ambitious AI systems of the future. We partner with enterprises, innovators, and public sector organisations globally to help them build and scale AI with high-quality data. From data sourcing and human-in-the-loop annotation to domain-expert evaluation across text, vision, speech, medical, geospatial and more, we ensure accuracy, depth, and scalability at enterprise standards. Powered by a proprietary multimodal data operations platform and a specialised expert network, Globik AI enables organisations to develop reliable, ethical, and high-performing AI systems. If you are building the future of AI, we are here to help build it with you.