Macro Trader – Quant FX & EM Markets

D. E. Shaw Group; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Year-end bonus guaranteed

Medical coverage

401(k) contribution matching

Wellness reimbursement

Family building benefits

Charitable gift match

Job summary

D.E.Shaw Group in New York seeks traders to join its Macro team, focusing on foreign exchange, developing, and emerging markets. The role offers a collegial working environment, collaboration with an innovative team, and substantial growth opportunities.

You’ll employ quantitative methods, build models, forecast markets, and develop data‑visualization tools to support trading ideas. A master’s degree in applied mathematics, finance, economics, or related field is required, with strong ML and

Qualifications

• Master’s degree in a relevant field required.
• Strong background in mathematical modeling and time-series forecasting.
• Experience with data science, regression, ML algorithms, and econometrics.

Responsibilities

• Employ quantitative methods to identify risk factors and trading opportunities.
• Create mathematical models to improve analytical tools.
• Analyze market fundamentals and develop quantitative forecasts.
• Link market fundamentals to price movements using statistics and linear algebra.
• Leverage data science to discern trading patterns and insights.
• Design data-visualization tools to communicate market insights.
• Identify mispricing and explore patterns in price data.
• Update market views and communicate trading opportunities.

Skills

Mathematical modeling

Time-series forecasting

Data science

Regression analysis

Machine learning

Python

Stata

Matlab

Econometrics

Linear algebra

Signal processing

GMM

PCA

Education

Master’s degree in applied mathematics, finance, economics, or related field

Tools

Python

Stata

Matlab

Job description

D.E.Shaw Group in New York seeks traders to join its Macro team, focusing on foreign exchange, developing, and emerging markets. The role offers a collegial working environment, collaboration with an innovative team, and substantial growth opportunities.

You’ll employ quantitative methods, build models, forecast markets, and develop data‑visualization tools to support trading ideas. A master’s degree in applied mathematics, finance, economics, or related field is required, with strong ML and