Python Developer

Position: Python Developer

Location: Hybrid/ NYC

Contract: 1-2 Years

Job Description:

Seeking a hands-on AI Engineer/Developer to rapidly prototype and deliver AI-driven solutions across investment research and trading functions. This role is ideal for someone who can bridge financial domain knowledge with applied AI/ML development building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.

Key Responsibilities

Design and develop AI/ML prototypes using Python to support investment research portfolio analytics and trading insights

Build and test LLM-based and data-driven use cases (e.g. research summarization signal generation document analysis automation)

Work closely with investment professionals research teams and data engineers to translate business needs into functional AI solutions

Develop and integrate data pipelines APIs and analytical models to support rapid experimentation

Leverage tools such as Jupyter Pandas NumPy LangChain and cloud AI services (AWS/Azure/OpenAI)

Perform data exploration feature engineering and model validation on financial datasets

Iterate quickly on prototypes incorporating feedback to refine models and outputs

Ensure solutions consider data security governance and compliance within a financial services environment

Required Qualifications

10 years of experience in Python development with strong hands-on coding ability

Experience building AI/ML or LLM-based applications and prototypes

Exposure to financial services asset management trading or investment research

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)

Ability to work in a fast-paced iterative environment with direct interaction with business stakeholders

Preferred Qualifications

Experience with LLM frameworks (LangChain RAG architectures vector databases)

Knowledge of financial data sets market data or portfolio analytics

Experience prototyping tools for quant research credit analysis or trading workflows

Familiarity with Snowflake Databricks or modern data platforms

What Success Looks Like

Rapid delivery of high-impact AI prototypes that demonstrate clear business value

Strong collaboration with front-office teams to solve real investment and research problems

Ability to evolve prototypes into scalable solutions in partnership with engineering teams