Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$180к-210к/год
$150к$190кмедиана$230к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
87
Хорошая вакансия
развернуть
У роли чёткий senior-уровень, много задач по количественным исследованиям и связь с AI/ML в инвестициях в частные рынки; обязательный опыт в количественном анализе акций и гибридный формат с согласованием менеджера могут подойти не всем.
Кликните для подробной информации
Ограниченный удалённый форматСовременный стекПонятные задачиФинтех и инвестиции
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Associate, Quantitative Researcher (AI/ML): Developing quantitative models and analyzing proprietary private-market datasets to evaluate investment opportunities, support due diligence, and generate insights for investment and client-facing teams with an accent on statistical modeling, data exploration, and investment risk/return analysis. Focus on integrating QIS models with fundamental investment research, applying AI/ML techniques, and communicating actionable findings from complex datasets.
Location: Boston, United States; hybrid work arrangement with 18 remote workdays per quarter subject to manager approval.
Base salary: $180,000–$210,000 per year for US-based employees, plus eligibility for a discretionary annual bonus and potential long-term reward programs.
Company
hirify.global is a global investment firm applying quantitative research, machine learning, artificial intelligence, and data science to private-markets investing and risk management.
What you will do
Analyze proprietary private-markets datasets and quantitative models to characterize market risk/return relationships and evaluate private-equity co-investment opportunities.
Conduct data exploration and visualization to test investment-team hypotheses.
Communicate quantitative analysis results and actionable insights to investment teams.
Support the integration and adoption of quantitative models alongside fundamental analysis by deal teams.
Apply new AI/ML models and techniques to advance quantitative methods in the investment process.
Support client-facing teams with ad-hoc quantitative analysis and responses to client requests.
Requirements
5–7+ years of relevant experience in quantitative research, quantitative investing, systematic investing, or related quantitative-finance roles.
Experience in quantitative equity is required.
Rigorous statistical-analysis experience and experience analyzing large datasets.
Strong programming skills, preferably in Python, including numerical, statistical-modeling, and visualization libraries, and SQL.
Bachelor of Arts or Bachelor of Science degree required.
Intellectual curiosity, initiative, an innovative and entrepreneurial attitude, and the ability to work on uneven, high-priority project work.
Ability to clearly and effectively communicate quantitative insights and work collaboratively in a team-oriented environment with strong attention to results and detail.
Nice to have
Prior experience with bottoms-up financial modeling.
Independent research experience, such as an academic thesis or industry research.
Master's degree or Ph.D. in a technical field.
Prior private-markets experience is not required.
Culture & Benefits
Collaborative, collegial, open-door culture focused on diversity, inclusion, mutual respect, and innovative thinking.
Hybrid work arrangement with 18 remote workdays per quarter, subject to manager approval.
Comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits, and well-being programs.
Eligibility for a discretionary annual bonus based on individual and firm performance.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →