Python AI Developer with Capital Markets and Trading

Python AI Developer with Capital Markets and Trading Hybrid/ NYC 3 days a week - NO RELOCATION **** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA. 6+Months C-C preferred or W2+ Referral. Video No Opt, No H1 and No CPT Candidates must have recent TRADE FLOR/TRADING/CAPITAL MARKETS APPLICATIONS. experience in utilizing AI to improve trading process and results. Excellent communication skills are required. Should be of Financial domain 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