Quantitative Researcher, Investment Modeling & Backtesting

Wealthfront; Seattle (WA); On-site; USD 185,000 - 211,000; Full time

Benefits offered by this job

Medical insurance

Vision

Dental

401K plan

Generous paid time off

Parental leave

Wellness reimbursements

Professional development

Employee investing discount

Equity

Job summary

Wealthfront is seeking a quantitative researcher / data scientist to join the Investments team. The role focuses on developing automated investment strategies, asset allocation, portfolio construction, tax efficiency, and trade execution using large client datasets.

You will derive quantitative models from empirical data and code extensively to express insights. Responsibilities include backtesting, deployment, data infrastructure development, dataset acquisition, cross-team collaboration, and

Qualifications

• Bachelor's or Master's degree in mathematics, statistics, economics or computer science (or a related quantitative discipline).
• 4 years of experience in systematic or quantitative investing or a higher degree in a quantitative field.
• Experience analyzing complex data and building statistical models.
• Proficiency in Python or R (you have written massive amounts of code, employing revision control, and testing).
• Competency in SQL preferred

Responsibilities

• Build reproducible backtests for proposed models / algorithms
• Contribute to the deployment and implementation of differentiated investment services
• Contribute to the development of infrastructure for modelling, optimization, backtesting, analytics, and data management
• Investigate, identify, and acquire internal / external datasets
• Collaborate with other teams to commercialize new products and ongoing enhancements to existing products
• Promote our products by providing data and authoring blog posts and white papers

Skills

Python

R

Education

Bachelor's/Master's in math/Stats/Economics/CS

Tools

SQL

Job description

Wealthfront is seeking a quantitative researcher / data scientist to join the Investments team. The role focuses on developing automated investment strategies, asset allocation, portfolio construction, tax efficiency, and trade execution using large client datasets.

You will derive quantitative models from empirical data and code extensively to express insights. Responsibilities include backtesting, deployment, data infrastructure development, dataset acquisition, cross-team collaboration, and