Skip to main content

Python Developer

Technology
Nexiva
New York, United States1 month agoUntil 11/13/2026
Service contract

Job description

Title: Python Developer

Client: Mayfair Capital

Location: Hybrid/ NYC 3 days a week - NO RELOCATION**** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA.

Duration: 6+ Months

Visa: No OPT/CPT/H1B

MOI: Video

Rate: $90/Hr on C2C

Exp: 15+ Years

All submittals must Include:

  • Driver's license or State ID
  • Link to the candidates LinkedIn account.
  • Below submittal Format

Requirement Notes (Candidate Job description below) : 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. Candidates must have recent experience building AI/ML or LLM-based applications and prototypes and have solid experience with financial services, asset management, trading, or investment research.

Strong experience with data analysis libraries (Pandas, NumPy) and working with structured/unstructured data and Familiarity with APIs, microservices, and cloud platforms (AWS, Azure, or GCP).

**** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA.

**** Candidates must have recent trading/capital markets experience in utilizing AI to improve trading process and results. Excellent communication skills are required. NO RELOCATION

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
  • 13+ 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
  • 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

Interested in this role?