Quants Business Analyst

JOB DESCRIPTION

Job Title: Quants Business Analyst
 
Location: Jersey City, NJ / New York City, NY
 Type: Full-Time
 Salary: $120,000 + Benefits
 
 
Job Description:
 
We are seeking a Senior Quants Business Analyst with a robust background in Python and Mathematics. In this pivotal role, you will contribute to the development and implementation of quantitative models, perform data analysis, and maintain high-performance applications utilizing Python. The ideal candidate should possess a comprehensive understanding of quantitative analysis, financial modeling, and proficiency in Python programming, along with experience in machine learning. Familiarity with APIs, data extraction, integration, and preprocessing will be advantageous. Responsibilities include requirements gathering, development, code deployment, enhancements, testing, and documentation.
 
  
 
Work Location Requirement:
 
Candidates must be located within commuting distance of Jersey City, NJ, or New York, NY, or be willing to work from client locations.
 
  
 
Required Qualifications:
 
 
 
Bachelor's degree or foreign equivalent from an accredited institution; candidates with three years of progressive experience in the specialty may be considered in lieu of a degree.
 
 
 
Minimum of 4 years of experience in Information Technology.
 
 
 
Experience with Python, derivatives, and regulatory reporting.
 
 
 
Preferred Qualifications:
 
 
 
Minimum of 4 years of experience in Python development, including frameworks like Django or Flask.
 
 
 
Experience in the software services industry, with expertise in mathematical modeling and software development.
 
 
 
Knowledge of statistical models for risk assessment, pricing, and optimization.
 
 
 
Familiarity with both SQL and NoSQL database systems.
 
 
 
Experience with data pipelines for efficient data processing.
 
 
 
Knowledge of building RESTful APIs.
 
 
 
Proficiency in using ORM libraries, such as SQLAlchemy, for database operations.
 
 
 
Ability to test and validate quantitative models to ensure their accuracy and reliability.
 
 
 
A passion for coding and problem-solving.
 
 
 
Proven capability to collaborate effectively in a team-oriented environment.
 
 
 
Excellent communication skills to articulate complex ideas clearly.
 
 
 
Experience in the banking industry is an added advantage.
 
 
 
Strong problem-solving skills.