Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка в количественных финансах у крупной инвестиционной компании даёт хорошую техническую практику и понятную почасовую оплату, но требование проводить в офисе четыре дня в неделю и отсутствие помощи с переездом ограничивают доступность вакансии.
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Работа из офисаСовременный стекПонятные задачиСильная практика
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quantitative Intern - Portfolio Engineering and Analytics (Python/Finance): Building portfolio construction, asset allocation, optimization, and risk modelling analyses for public and private assets with an accent on quantitative finance, large datasets, and systematic investment research. Focus on translating statistical and optimization principles into algorithms, validating results, and developing portfolio technology in the Boston office.
Location: Boston, Massachusetts, United States; must be able to work in hirify.global’s Boston office. The workplace model requires at least four full days per week in an hirify.global office. Relocation and housing are not included.
Salary: $65.00 per hour
Company
hirify.global is a global investment management firm offering systematic, multi-asset, and alternative investment strategies.
What you will do
Support strategic and dynamic asset allocation research.
Develop and analyze portfolio construction and optimization models.
Build risk models for public and private assets.
Work with large and unstructured datasets and transform them into analysis-ready formats.
Collaborate with senior Portfolio Construction and Engineering professionals on quantitative finance and investment technology assignments.
Contribute to systematic investment research and the Vision cloud-based investment management platform.
Requirements
Currently enrolled in a master’s or PhD program in a quantitative discipline and returning to study after the internship.
Strong Python programming skills, including NumPy, pandas, and SciPy.
Strong foundation in statistics, probability, and optimization.
Experience managing and manipulating large datasets, preferably with SQL.
Working familiarity with portfolio concepts including mean-variance optimization, factor models, and risk and performance metrics.
Must be able to work in the Boston office; relocation and housing are not included.
Nice to have
Exposure to scikit-learn, PyTorch, TensorFlow, Git, CI/CD, AWS, or Azure.
Experience with RESTful services, FastAPI, JavaScript, or data visualization.
Coursework or project experience with large language models, agentic AI tooling, LangChain, RAG, or vector databases.
Familiarity with BarraOne, Axioma, or progress toward the CFA designation.
Culture & Benefits
Networking events, a peer sponsor program, and leadership connection sessions for interns.
Virtual Lunch and Learns and volunteer events.
Complimentary coffee and snacks.
401(k) matching of 100% up to the first 6%, plus a discretionary supplemental contribution.
Inclusive workplace and equal employment opportunity practices.
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