13 дней назад
Researcher (Fixed Income)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Researcher (Fixed Income) (Quantitative Finance): Conducting academically grounded empirical research on portfolio construction, implementation, and fixed-income investment strategies with an accent on econometrics, statistical analysis, and large datasets. Focus on running historical simulations, evaluating performance and diversification, developing research papers, and translating findings into investment solutions and client education.
Location: Austin, Texas, United States
Company
develops investment strategies and conducts research on investments and financial markets.
What you will do
- Conduct empirical research on portfolio structure, implementation, performance, costs, and diversification.
- Run historical simulations, regression, attribution, characteristics analyses, and econometric tests.
- Collaborate with investment and sales teams to develop reliable, cost-effective, and transparent investment solutions.
- Share research through white papers, presentations, seminars, and conferences.
- Discuss investment philosophy, processes, and strategies with clients and prospects.
- Review advances in academic asset-pricing research to support investment strategies and client education.
Requirements
- PhD in finance, economics, mathematics, statistics, engineering, computer science, or a related discipline.
- 0–3 years of relevant industry experience for the Researcher level and excellent knowledge of quantitative finance.
- Strong quantitative skills and experience conducting empirical research with large datasets.
- Strong background in econometrics and statistics.
- Proficiency in Python is required.
- Ability to independently complete research projects from idea generation through publication or strategy implementation, with strong communication and attention to detail.
Nice to have
- Expertise in fixed-income research.
- Experience with portfolio optimization, derivative pricing, or machine learning.
- Experience with R, Matlab, or SAS.
- Proficiency in T-SQL and database query languages.
Culture & Benefits
- Comprehensive benefits supporting employees and their families.
- Educational initiatives supporting career development.
- Programs and celebrations focused on company history, culture, and growth.
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