Hybrid Fixed-Income Research Scientist

Dimensional Fund Advisors; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits

Educational initiatives

Special celebrations of our history,文化

Job summary

Dimensional Fund Advisors seeks a PhD Researcher in Austin, Texas to conduct empirical research supporting investment strategies. The role involves portfolio construction analysis, historical simulations, and collaboration with investment and sales teams.

The ideal candidate has a PhD in a quantitative field, strong Python skills, and experience with large datasets, econometrics, and asset pricing. Dimensional emphasizes balanced research-and-education deliverables and client-focused

Qualifications

• PhD in finance, economics, mathematics, statistics, engineering, computer science, or similar disciplines.
• Researcher: 0-3 years (Senior Researcher: 3-7 years) of relevant industry experience and expertise in quantitative finance.
• Strong quantitative skills with experience in empirical research on large datasets.
• Proficiency in Python is required; knowledge of R, MATLAB or SAS is a plus.
• T-SQL database querying is highly regarded; fixed-income research is preferred.
• Experience in portfolio optimization, derivatives pricing and ML is advantageous.
• Excellent communication of complex concepts, orally and in writing.

Responsibilities

• Conduct rigorous empirical research related to portfolio structure and implementation.
• Run historical simulations, regression, attribution and characteristics analysis.
• Share findings through white papers and presentations at seminars and conferences.
• Collaborate with investment and sales teams to develop client-focused solutions.
• Review advances in asset pricing to support strategies and education.

Skills

Python

Econometrics

Quantitative finance

Data analysis

Large datasets

Education

PhD in quantitative field

Tools

T-SQL

R

MATLAB

SAS

Job description

Dimensional Fund Advisors seeks a PhD Researcher in Austin, Texas to conduct empirical research supporting investment strategies. The role involves portfolio construction analysis, historical simulations, and collaboration with investment and sales teams.

The ideal candidate has a PhD in a quantitative field, strong Python skills, and experience with large datasets, econometrics, and asset pricing. Dimensional emphasizes balanced research-and-education deliverables and client-focused