CCR Technologies Pvt. Ltd.
Website:
ccr-tech.com
Job details:
Key Responsibilities
- Design and develop AI/GenAI-driven solutions for investment research and recommendation.
- Work with LLMs, RAG, AI Agents / Agentic AI and Vector Search.
- Design scalable Data Engineering and Data Lakehouse solutions.
- Build data pipelines integrating structured and unstructured financial data.
- Work with data such as market data, fundamentals, credit information, research reports, filings, transcripts and portfolio/risk data.
- Develop solutions supporting yield, probability of default, recovery value, risk-adjusted returns and BUY/HOLD/REJECT recommendations.
- Work with financial data providers such as FactSet, Bloomberg, Refinitiv/LSEG or similar platforms.
- Define solution architecture and technology standards for AI and data platforms.
- Collaborate with investment, research, product, and business teams to convert requirements into scalable technology solutions.
- Evaluate and adopt emerging AI and data technologies.
Required Technical Skills
- Python & SQL
- Databricks / Snowflake
- Spark / PySpark
- Delta Lake / Data Lakehouse / Data Engineering
- AWS / Azure / GCP
- GenAI / LLM / RAG
- Vector Databases / Vector Search
- LangChain / LlamaIndex or equivalent
- AI Agents / Agentic AI
- APIs, microservices and data pipelines
Domain Experience
Experience in one or more of the following is preferred:
Capital Markets | Investment Banking | Asset Management | Fixed Income | Credit | Risk | Investment Research | FinTech | BFSI
Understanding of financial products, investment data and risk concepts will be an advantage.
Key Soft Skills
- Excellent articulation and communication skills – Critical
- Ability to explain complex technical concepts in simple business language
- Strong stakeholder management and presentation skills
- Business acumen and problem-solving ability
- Ownership and accountability
- Collaboration and influencing skills
- Learning agility and curiosity toward emerging technologies
Education
Bachelor's/master’s degree in computer science, IT, Engineering, Data Science, AI/ML, Finance or related fields.
Ideal Candidate
A technology professional who can effectively bridge Finance + AI + Data + Technology, with the ability to understand business problems, design the right technical solution and communicate it clearly to senior stakeholders.
Key Search Keywords:
AI | GenAI | LLM | RAG | Agentic AI | Python | SQL | Databricks | Snowflake | PySpark | Data Lakehouse | Spark | AWS | Azure | Capital Markets | FinTech | Fixed Income | Credit | Risk
Click on Apply to know more.
