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Technology Lead

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Onsite

Technology Lead

Talent Corner Hr Services

Technology Lead

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonData ScienceMicroservicesSnowflakeDatabricksMachine LearningAIAWSPySparkAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹3,000,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

19 September 2026

What they need


#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
  • 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

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