Technology Lead

Talent Corner Hr Services; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Talent Corner HR Services in Pune seeks a Technology Lead – AI, Data & Capital Markets to drive an AI-driven investment recommendation platform. You will combine AI/GenAI, data engineering and cloud expertise with exposure to capital markets to deliver scalable technology solutions.

The ideal candidate will be hands-on, business-focused and articulate, bridging finance and technology while collaborating with cross-functional teams to translate complex concepts into business value.

Qualifications

• Bachelor's or master's degree in CS/IT/Engineering/Data Science/AI/ML/Finance or related fields.
• Hands-on experience with AI/GenAI, data engineering and cloud platforms.
• Exposure to Capital Markets/FinTech is advantageous.
• Excellent articulation and stakeholder communication.

Responsibilities

• Design and develop AI/GenAI-driven investment research and recommendation solutions.
• Work with LLMs, RAG, AI Agents and Vector Search.
• Design scalable data engineering and data lakehouse solutions.
• Build data pipelines integrating structured and unstructured financial data.
• Collaborate with investment, research, product and business teams to translate requirements into scalable tech solutions.
• Evaluate and adopt emerging AI and data technologies.

Skills

Python

SQL

Education

Bachelor's / Master's in CS/IT/Engineering/Data Science/AI/ML/Finance

Tools

Databricks

Snowflake

Spark

PySpark

Delta Lake / Data Lakehouse

AWS / Azure / GCP

GenAI / LLM / RAG

Vector Databases / Vector Search

LangChain / LlamaIndex

AI Agents / Agentic AI

APIs, microservices and data pipelines

Job description

#Senior Manager - Technology

Location: Pune
Experience: 510 Years
Employment Type: Full-Time
Domain: FinTech / Capital Markets / Investment Technology

Role Overview

We are looking for a Technology Lead – AI, Data & Capital Markets to drive technology development for an AI-driven Investment Recommendation Platform.

The ideal candidate will combine strong AI/GenAI, Data Engineering and Cloud expertise with exposure to Capital Markets/FinTech. The candidate should be hands‑on, business‑oriented, and highly articulate, with the ability to translate complex technology concepts into clear business solutions.

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
• Collaborate 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