Company Description Equilense Technologies powers next-generation AI systems and institutional compliance by combining specialized domain expertise with human-in-the-loop precision. The company delivers enterprise-grade data services and mission-critical risk operations for global AI labs, fintechs, and financial institutions. Its work spans multimodal data annotation, RLHF, prompt engineering, red teaming, and hallucination testing for foundation models in language and vision.

Equilense also supports financial crime operations including AML transaction monitoring, KYC/CDD onboarding, sanctions screening, fraud triage, and second-line QA. Team members contribute to solutions that prioritize speed, accuracy, and regulatory compliance at scale.

Role Description The AI Powered Data Analyst is a full-time, on-site role based in Srinagar. This role focuses on analyzing complex datasets that support AI model quality assurance and financial crime operations, including data validation, pattern detection, and risk signal analysis. Day-to-day responsibilities include building and refining analytical models, preparing dashboards and reports, and collaborating with engineering and operations teams to improve data pipelines and model performance.





The analyst will review and interpret outputs from AI systems, conduct statistical assessments, and provide clear, actionable insights to stakeholders. The role also involves documenting methodologies, maintaining high-quality standards, and contributing to continuous improvement of internal analytics frameworks and compliance processes.

Qualifications

- Candidates should possess robust Analytical Skills and proven experience in Data Analytics.
- Candidates should possess a solid foundation in Statistics and competence in Data Modeling.
- Candidates should possess clear and effective Communication skills for cross-functional collaboration and reporting.
- Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Economics, Engineering, or a related quantitative field.
- Experience working with analytical tools and languages (e.g., SQL, Python, R, or similar) and business intelligence platforms.
- Familiarity with AI/ML concepts, model evaluation, or risk and compliance analytics in fintech or financial services is beneficial.
- Ability to work with large, complex datasets, manage multiple priorities, and maintain attention to detail in high-volume operations.

📌 AI Powered Data Analyst (India)
🏢 Equilense Technologies
📍 India