Quantitative Analyst — Structured Credit & AI Investing

Socket.dev; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental and family leave

Volunteer opportunities

Diversity and inclusion affinitygroups

Wellness programs

Tuition assistance

401(k) with employer match

Job summary

Point72 is seeking a Quant/Developer Analyst for its Discretionary Macro Investment Team focused on Structured Products. You will help architect data and modeling infrastructure and integrate AI-driven improvements across risk and cashflow analytics.

The role requires deep programming, data, and finance experience within a trading or research context. The candidate should bring 3+ years on the buy or sell side, a strong university degree in a quantitative field, and proficiency in Python, C++,

Qualifications

• 3+ years at a sell-side firm in trading or quantitative research or as a quant at a buy-side credit/mortgage fund.
• Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics.
• Advanced knowledge of Python, C++, or SQL.
• Advanced skills in Excel and cashflow modeling.
• Extensive experience with structured credit cashflow engines (e.g., INTEX) and APIs.
• Commitment to the highest ethical standards.

Responsibilities

• Help architect and maintain the infrastructure for Structured Products investing.
• Leverage internal and external partners to help with data infrastructure builds.
• Integrate alternative and traditional data sets to streamline analytics.
• Use AI to enhance and optimize processes.
• Work with risk parameters using market-standard analytics platforms like Bloomberg.
• Manage and assist in special projects within the CLO market.

Skills

Python

C++

SQL

Excel

Cashflow modeling

Structured credit engines

APIs

Education

Bachelors or higher in CS/ Economics/ Engineering/ Math/ Physics/ Stats

Tools

INTEX

Bloomberg

Job description

Point72 is seeking a Quant/Developer Analyst for its Discretionary Macro Investment Team focused on Structured Products. You will help architect data and modeling infrastructure and integrate AI-driven improvements across risk and cashflow analytics.

The role requires deep programming, data, and finance experience within a trading or research context. The candidate should bring 3+ years on the buy or sell side, a strong university degree in a quantitative field, and proficiency in Python, C++,