Description

Design and develop AI/ML prototypes using Python to support investment research and trading insights. You will build LLM-based use cases, integrate data pipelines, and collaborate with investment professionals to translate business needs into functional solutions.

This role is on-site.

Responsibilities

• Build and test LLM-based and data-driven use cases, including research summarization and signal generation.
• Develop and integrate data pipelines, APIs, and analytical models to support rapid experimentation.
• Perform data exploration, feature engineering, and model validation on financial datasets.
• Iterate quickly on prototypes, incorporating feedback to refine models and outputs.
• Ensure solutions adhere to data security, governance, and compliance standards.

Required Skills

• 10+ years of experience in Python development with strong hands-on coding ability.
• Experience building AI/ML or LLM-based applications and prototypes.
• Strong experience with data analysis libraries (Pandas, NumPy) and working with structured/unstructured data.
• Familiarity with APIs, microservices, and cloud platforms (AWS, Azure, or GCP).
• Exposure to financial services, asset management, trading, or investment research.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with LLM frameworks (LangChain, RAG architectures, vector databases).
• Knowledge of financial data sets, market data, or portfolio analytics.
• Familiarity with Snowflake, Databricks, or modern data platforms.

Key Skills

Education

Bachelor's degree