Point72 Logo

Point72

Research Analyst, Global Macro

Posted 2 Days Ago
Be an Early Applicant
Easy Apply
In-Office
New York, NY
Mid level
Easy Apply
In-Office
New York, NY
Mid level
The analyst conducts fundamental research for a credit-focused macro portfolio, building models, developing automated data pipelines, and creating portfolio analysis tools.
The summary above was generated by AI

Role:

Research analyst on a credit-focused discretionary macro portfolio management team. The analyst will work directly with the PM to conduct fundamental bottoms up research to generate commercial trade ideas across the full credit spectrum—Investment Grade and High Yield corporate bonds and their derivatives.

Responsibilities:

  • Build and maintain quantitative models for credit analysis, relative value identification, and risk management
  • Develop automated data pipelines for market data, fundamentals, and alternative datasets
  • Implement systematic signals and backtesting frameworks for trade idea generation
  • Create portfolio analytics, risk monitoring tools, and scenario analysis capabilities
  • Build relative value models across hundreds of securities in the credit universe
  • Automate repetitive analysis and reporting to improve team efficiency
  • Collaborate with the PM to translate investment hypotheses into testable quantitative frameworks
  • Monitor model performance, validate assumptions, and iterate on approaches

Requirements:

  • Bachelor's or Master's degree in computer science, statistics, mathematics, physics, engineering, or similar quantitative discipline
  • Strong programming skills in Python (pandas, numpy, scipy, scikit-learn) and SQL
  • Experience with data manipulation, statistical modeling, and time series analysis
  • Understanding of financial markets, particularly fixed income and credit derivatives
  • Ability to build production-quality code with proper testing and documentation
  • Strong problem solving skills and attention to detail in quantitative work
  • Good communication skills and ability to explain technical concepts to non-technical stakeholders
  • Intellectual curiosity and passion for applying quantitative methods to financial markets
  • Ability to take ownership of projects from conception to production
  • Hard working competitive spirit
  • Commitment to the highest ethical standards

Top Skills

Numpy
Pandas
Python
Scikit-Learn
Scipy
SQL

Similar Jobs

6 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
Mid level
Mid level
Financial Services
The role focuses on conducting fundamental credit research, analyzing capital structures, developing investment views, and maintaining external relationships to identify investment opportunities.
Top Skills: Credit AnalysisFinancial Modelling
An Hour Ago
In-Office
4 Locations
245K-345K Annually
Senior level
245K-345K Annually
Senior level
eCommerce • Mobile
Lead the design and deployment of machine learning models for personalized navigation, collaborate across teams, and drive technical excellence in ML practices.
Top Skills: Machine Learning FrameworksPythonSQL
3 Hours Ago
Hybrid
White Plains, NY, USA
82K-125K Annually
Senior level
82K-125K Annually
Senior level
Fintech • Financial Services
Manage and grow small business client relationships, assess financial needs, and collaborate with internal partners to drive business growth.
Top Skills: MS Office

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account