4 дня назад
Global Risk & Performance Strategy Co Op (AI)
19 - 35$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Risk & Performance Strategy Co Op (AI): Supporting portfolio risk analysis, financial data analysis, and independent risk oversight with an accent on quantitative techniques, stress testing, and performance and risk attribution. Focus on building Python-based analytics, automating reporting, and designing AI-enabled tools for risk-management processes.
Location: Boston, MA, United States; hybrid schedule with four days in the office and one day working remotely.
Salary: $19–$35 per hour
Company
Independent investment management firm serving institutional clients and mutual fund sponsors across more than 60 countries, with over $1 trillion in assets under management.
What you will do
- Support portfolio risk reviews and produce risk analytics for Investment Risk strategists and analysts.
- Apply statistical and quantitative techniques to financial data and live portfolios.
- Analyze factor exposures, stress tests, scenarios, and performance and risk attribution.
- Investigate material changes, unusual model results, data-quality issues, and market developments.
- Build reports, dashboards, and analytical tools using Excel, Tableau, Python, and related applications.
- Automate recurring reporting workflows and design, test, and document AI-enabled risk-management tools with appropriate human oversight.
Requirements
- Current enrollment in an undergraduate degree program at Northeastern University is required.
- STEM or another quantitatively oriented field is preferred.
- Relevant coursework in linear algebra, probability and statistics, economics, finance, computer science, data science, or a related discipline.
- Strong critical-thinking, problem-solving, communication, and attention-to-detail skills.
- Interest in financial markets, portfolio management, and investment risk.
- Ability to work independently and collaboratively with a high level of professionalism.
Nice to have
- Programming experience, particularly in Python.
- Familiarity with Excel, Tableau, SQL, statistical analysis, data visualization, or generative AI tools.
Culture & Benefits
- Collaborative environment with cross-training across Risk, Analytics, Research, and Technology.
- Flexible hybrid work arrangement with one remote day per week.
- Retirement plan, health, dental, vision, pharmacy, HSA, FSA, and commuter benefits.
- Life and disability insurance, adoption assistance, backup childcare, tuition and CFA reimbursement, and paid time off.
- Anticipated start date in December 2026 or January 2027.
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