pythonrmachine learningstatistical modelingeconometricsportfolio constructionfactor investingquantitative investment research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$140к-160к/год
$120к$140кмедиана$170к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.8к - $4.4к)
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Чёткие задачи в количественных исследованиях, зарплата на уровне рынка и возможности для развития делают вакансию привлекательной, хотя особые условия для work-life balance не указаны.
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Актуальные технологииПонятные задачиЗарплата на уровне рынкаВозможности развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Intermediate Quantitative Analyst (Quantitative Equity Research): Developing stock selection signals, alpha models, and portfolio construction methods for systematic and fundamental investment strategies with an accent on statistical modeling, econometrics, machine learning, and large financial datasets. Focus on researching tradable signals, implementing and monitoring production models, and communicating performance insights to portfolio managers and fundamental analysts.
Location: Boston, Massachusetts, United States. Hybrid schedule with at least four days per week in the office and one day per week working from home.
Base salary: $140,000–$160,000 per year, excluding potential bonuses, commissions, and long-term incentives.
Company
Global investment firm with teams across North America, Europe, and Asia Pacific, providing systematic and fundamental investment strategies across major asset classes and markets.
What you will do
Conduct quantitative equity research, including idea generation, data preparation, statistical analysis, and actionable recommendations.
Evaluate large datasets to identify tradable signals and develop alpha models.
Refine portfolio construction methodologies for systematic and fundamental strategies.
Implement, maintain, monitor, and analyze factor and model performance in production.
Enhance research infrastructure and analytics platforms used by the team.
Collaborate with portfolio managers and fundamental analysts, present research findings, and provide performance insights.
Requirements
Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related field.
At least three years of direct experience in quantitative investment research, including development and testing of stock selection signals or alpha models.
Knowledge of equity markets, factor investing, portfolio construction, statistical modeling, econometric analysis, and machine learning.
Strong programming skills in Python, R, or similar languages, with experience working with large financial datasets.
Ability to lead research projects from initial idea through production and explain technical concepts to quantitative and fundamental audiences.
Must already have United States work authorization that does not now or in the future require visa sponsorship.
Nice to have
CFA charterholder or CFA candidate.
Culture & Benefits
Face-to-face collaboration and in-person idea sharing are central to the work environment.
Opportunities to develop a long-term career in quantitative investing.
Vacation and sick time.
401(k) and health, dental, and life insurance benefits.
Performance-based compensation with potential bonuses, commissions, and long-term incentives.
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