Mortgage Desk Quant: Python Trading & Analytics

Next Frontier Capital; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Health care coverage

Retirement savings plan

Job summary

JPMorganChase is seeking an Associate on the Agency Mortgage Desk to analyze borrower prepayment behavior and support trading activities through Python tools and market analyses.

You will develop Python scripts, collaborate with technology and internal teams, and deliver rapid responses during trading hours to streamline operations and improve trading efficiencies in the mortgage desk.

A strong background in computer science or mathematics and a passion for finance are essential to succeed.

Qualifications

• Strong academic background in computer science or mathematics-related fields.
• Excellent programming skills, with Python preferred; C++ knowledge is a plus.
• Excellent communication skills.
• Solid understanding of basic mathematical concepts.
• Self-motivated with strong critical and independent thinking abilities.
• Keen interest in applying programming skills to financial problems.

Responsibilities

• Analyze borrower prepayment behavior and assess its impact on market pricing and risk.
• Develop Python scripts and tools for market and business analysis and trading activities.
• Collaborate with technology and internal teams on trading systems and P&L systems.
• Provide fast-paced responses during trading hours.
• Build tools to streamline trading operations and improve efficiencies.

Skills

Python

C++

Mathematics

Communication

Independent thinking

Finance interest

Education

Computer science or mathematics

Job description

JPMorganChase is seeking an Associate on the Agency Mortgage Desk to analyze borrower prepayment behavior and support trading activities through Python tools and market analyses.

You will develop Python scripts, collaborate with technology and internal teams, and deliver rapid responses during trading hours to streamline operations and improve trading efficiencies in the mortgage desk.

A strong background in computer science or mathematics and a passion for finance are essential to succeed.