Securitized products evaluator (ML/Fixed income/SQL)

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Bonds
Machine Learning (ML)
Securities
Fixed Income
Finance
Risk Management

Job Details

Job Title: Senior Analyst - Securitized products evaluator (ML/Fixed income/SQL)

Location: NYC, NY - hybrid 3 days in office

Duration: 5 Months

MUST HAVES:

-Financial engineering experience

-Machine Learning

-Programming skills - Python or SQL

-Fixed income experience (most importantly bonds)

Position Overview:

We are seeking a highly skilled and motivated professional with expertise in machine learning and financial engineering to join our team focused on enhancing our Option-Adjusted Spread (OAS) model for securitized securities within the Fixed Income Pricing domain. This role is ideal for someone passionate about applying advanced quantitative techniques to solve complex problems in financial markets.

Key Responsibilities:

  • Develop and enhance OAS modeling frameworks for securitized products (e.g., MBS, ABS, CMBS).
  • Apply machine learning techniques to improve pricing accuracy and model robustness.
  • Collaborate with cross-functional teams including risk, trading, and technology to integrate model enhancements.
  • Conduct back testing, performance analysis, and validation of model outputs.
  • Maintain and optimize codebase using Python, SQL, and Jupyter Notebooks.
  • Utilize libraries such as scikit-learn for model development and deployment.
  • Document methodologies and present findings to stakeholders.

Required Qualifications:

  • Advanced degree (Master s or PhD) or 8+ years of experience in Financial Engineering, Computer Science, Statistics, Mathematics, or related field.
  • Proficiency in Python, SQL, Jupyter Notebook, and scikit-learn.
  • Deep understanding of fixed income securities, especially securitized products (specifically bonds.)
  • Experience with OAS modeling, Monte Carlo simulations, and term structure modeling.
  • Familiarity with data handling, feature engineering, and model validation techniques.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Experience working in a financial institution or pricing analytics team.
  • Exposure to regulatory requirements and risk management frameworks.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Javen Technologies, Inc