Macro Analyst, Market Intelligence, US

Point72

New York (NY)

On-site

USD 95,000 - 115,000

Full time

41 hours ago
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Benefits offered by this job

Health benefits
Parental leave
Tuition assistance
401(k) employer match
Volunteer opportunities

Job summary

Point72 is seeking a Macro Analyst for its Market Intelligence team in the United States. You will work with alternative data to provide macro context and insights for rates and FX markets, partnering with data scientists and engineers to deliver synthesized analyses to investment professionals.

The role emphasizes collaboration across Data Sourcing, Data Science, Data Engineering and Compliance to source, evaluate, and translate data into actionable research for investment teams.

Qualifications

  • Undergraduate or advanced degree with demonstrated academic success.
  • 1–5 years of macro/economics/investment research or consulting experience.
  • Proficiency with SQL and Python; able to participate in a live technical screen.
  • Experience modelling and analysing time series data in macroeconomic or quantitative research.
  • Interest in finance, research, and using data to solve problems.
  • Ability to explain concepts to non-technical partners; strong communication skills.

Responsibilities

  • Analyze alternative data sources to build macro insights and subject-matter expertise for rates and FX markets.
  • Produce research for internal investment professionals across reports, verbal briefings, data feeds, and visualizations.
  • Interact with investment professionals to learn macro investment processes and inform decisions.
  • Collaborate with Data Sourcing, Data Science, Data Engineering and Compliance to source and evaluate data assets.

Skills

SQL
Python
Time series analysis
Communication
Team collaboration

Education

Undergraduate or advanced degree

Tools

SQL
Python

Job description

A Career with Point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

What you’ll do

As a Macro Analyst, Market Intelligence covering the US, you will work with alternative data to gather macroeconomic context and identify insights relevant to rates and FX markets. You will then partner with our team of data scientists and engineers to develop analyses that you deliver as synthesized insights to our investment professionals to help aid in their research processes. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will:

  • Analyze and interpret alternative data from multiple sources and develop subject-matter expertise on the key themes and KPIs that drive the markets within your assigned coverage
  • Produce research for internal consumption by our investment professionals across a variety of channels, including written reports, verbal communication, data feeds, and visualizations
  • Interact directly with our investment professionals to learn the macro investment process from them and help drive more informed investment decisions
  • Collaborate with our proprietary research teams including Data Sourcing, Data Science, and Data Engineering, as well as Compliance, to source, evaluate, and draw value from new and existing data assets to produce actionable research for investment professionals
What’s Required
  • An undergraduate degree or advanced degree with demonstrated academic success
  • One to five years of prior macro/economics/investment research or consulting experience, including any relevant internship experience
  • Proficiency with technical coding/programming and ability to participate in a live technical screen (SQL, Python)
  • Experience with modelling and analyzing time series data as part of the macroeconomic or fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative fields
  • A passion for finance, research, and using data to solve problems
  • Comfort with analyzing novel data and explaining concepts to non-technical partners
  • Great organizational skills to handle a demanding workload, creativity, and a strong work ethic
  • Ability to operate productively in a team environment
  • Strong verbal and written communication skills
  • Commitment to the highest ethical standards
We take care of our people

We invest in our people, their careers, their health, and their well‑being. When you work here, we provide:

  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more
About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $95,000-$115,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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