Quantitative Research Analyst (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Quantitative Research Analyst in the United States.

The Quantitative Research Analyst will contribute to the development and enhancement of portfolio optimization and tax-aware investment strategies. This role combines rigorous quantitative analysis with software development, applying statistical modeling, machine learning, and optimization techniques to real-world investment problems. You will collaborate with portfolio managers, developers, and research teams to ensure analytical insights are effectively implemented in production systems. The position requires strong coding skills, deep knowledge of data structures and algorithms, and the ability to translate complex research into actionable solutions. This role operates in a highly analytical, collaborative, and innovation-driven environment where accuracy, creativity, and critical thinking are essential.

Accountabilities:

• Conduct quantitative investment research and run simulations of strategies to evaluate after-tax performance.
• Design, develop, and implement models for portfolio optimization, risk assessment, and factor-based investing.
• Collaborate with portfolio managers, risk teams, and developers to ensure research outputs integrate effectively into production systems.
• Maintain high standards of data quality, reproducibility, and computational efficiency across research workflows.
• Apply statistical and machine learning techniques, including regression, NLP, feature engineering, and optimization methods.
• Communicate findings, limitations, and recommendations to technical and non-technical stakeholders.
• Support continuous improvement initiatives to enhance research methodologies and investment processes.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Physics, or Quantitative Finance; Master’s or Ph.D. preferred for advanced quantitative focus.
• 2-5 years of relevant experience in quantitative research, financial data engineering, or investment-focused software development.
• Strong programming skills in C# (or Java), Python, and SQL; familiarity with object-oriented programming and modular system design.
• Deep understanding of relational databases, schema design, and query optimization.
• Expertise in statistical modeling, time-series analysis, machine learning, and feature engineering applied to finance.
• Knowledge of portfolio optimization, risk modeling, and factor-based investing.
• Familiarity with convex optimization, quadratic programming, and constrained portfolio problems.
• Excellent communication skills and ability to explain complex quantitative concepts to diverse audiences.
• Highly organized, detail-oriented, and able to manage multiple research projects simultaneously.

• Competitive base salary ($110,000 – $130,000, depending on experience and location) plus discretionary annual bonus.
• Comprehensive healthcare coverage, including medical, dental, and vision.
• Retirement savings plan with employer match.
• Employee stock investment opportunities.
• Learning and development programs, including reimbursement for certain education expenses.
• Paid time off, including vacation, holidays, sick leave, parental and caregiving leave, and volunteering days.
• Flexible work arrangements, including hybrid or remote options.
• Well-being programs supporting mental, physical, and financial health.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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