Live opening · Posted 7 days ago
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Description supplied by the original job listing.
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
Work arrangement
No
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