data analysisrisk assessmentartificial intelligencefinancial modelingstatistical modelingbacktestingquantitative analysisinvestment research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$53к-79к/год
$75к$95кмедиана$110к
По похожим ролям (48) ~ $95к/год
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Чётко описанная роль в инвестиционных исследованиях даёт практический опыт количественного анализа и понятные возможности развития, но рассчитана на студентов с определёнными сроками выпуска и не предусматривает визовую поддержку.
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Ниже рынкаОграничения по выпускуБез визовой поддержкиПонятные задачиОбучение и наставничествоКрупный финансовый игрок
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Asset Management Analyst - Investments (Investment Research and Quantitative Analysis): Conducting quantitative research and modeling to support investment selection, trade execution, portfolio construction, product development, and asset allocation decisions with an accent on financial data integration, back-testing, and risk assessment. Focus on evaluating investment outcomes against targets and peers, applying artificial intelligence toolsets to data analysis, and generating theoretical outputs for production processes.
Location: Chicago, IL; applicants must be authorized to work in the U.S. without employment-based visa sponsorship.
Salary: $52,800–$79,200 USD annual base pay.
Company
hirify.global provides wealth management, asset servicing, asset management, and banking services to individuals, families, corporations, and institutions.
What you will do
Contribute quantitative analysis to investment selection, trade execution, portfolio construction, product development, and asset allocation decisions.
Support trading, investment research, and portfolio management processes.
Integrate datasets using coding skills for financial and statistical modeling.
Conduct empirical research, back-testing, and risk assessment.
Evaluate and attribute investment outcomes against targets and peer groups.
Present findings, collaborate with project teams, and provide investment data for fact-based decisions.
Requirements
Pursuing a bachelor's degree in mathematics, statistics, computer science, computer engineering, finance, accounting, or economics at an accredited college or university; an expected graduation date between December 2026 and Summer 2027 is preferred.
Minimum GPA of 3.0; a GPA of 3.5 or above is preferred.
Prior related experience or experience gained through rigorous academic coursework.
Analytical, quantitative, and problem-solving skills demonstrated through coursework, projects, or internship experience.
Experience applying coding languages to data analysis, including back-testing.
Experience applying artificial intelligence toolsets to data analysis, visualization, and written output.
Experience using financial or statistical models.
Strong verbal and written communication skills.
Leadership and teamwork demonstrated through projects or extracurricular involvement.
Understanding of financial markets, macroeconomics, risk metrics, and investment objectives at the product and client level.
Nice to have
Expected graduation between December 2026 and Summer 2027.
GPA of 3.5 or above.
Culture & Benefits
Flexible and collaborative work culture with access to senior leaders.
Mentorship, monthly speaker series, and learning and development sessions.
Career development opportunities, comprehensive orientation, social events, and access to an alumni network.
Retirement benefits including 401(k) and pension, health and welfare benefits, paid time off, parental and caregiver leave, life and accident insurance, and other voluntary and well-being benefits.
Discretionary bonus program that may include an equity component.
Inclusive workplace with opportunities to support community philanthropy.
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