fintechpythonsqldata analysisdevopsdata modelingci cdbusiness intelligenceinvestment data management
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
$95к-105к/год
$70к$88кмедиана$110к
По похожим ролям (46) ~ $88к/год
На СНГ рынке: $1.2к/мес ($1к - $1.4к)
84
Хорошая вакансия
развернуть
Понятная junior-позиция в команде инвестиционной аналитики дает хороший опыт работы с данными и разработкой, хотя широкий набор задач может размывать фокус роли.
?Широкий круг задач
Актуальный стек
Инвестиционная платформа
Без визового спонсорства
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Quantitative Investment Engineer (FinTech): Building applications, data integrations, prototypes, and testing solutions for a cloud-based data analytics platform supporting private-market investment decisions with an accent on investment data management, requirements analysis, and data quality. Focus on onboarding large structured and unstructured datasets, translating business needs into technical designs, and developing SQL- and Python-based tests and prototypes.
Location: Boston, United States; hybrid arrangement with 18 remote workdays per quarter subject to manager approval
Base salary: $95,000–$105,000 per year, plus potential discretionary annual bonus and other total-rewards components.
Company
hirify.global is a global private-markets investment firm with a collaborative, inclusive culture focused on data-driven solutions for clients and investing partners.
What you will do
Capture business requirements and translate them into technical solutions, integrations, system designs, tests, data transformations, and reports.
Collaborate with investment teams, platform users, developers, engineers, researchers, QA, vendors, suppliers, and IT teams.
Create and maintain task boards, use cases, application documentation, release notes, and technical write-ups.
Identify, document, and facilitate onboarding of new datasets.
Develop functional prototypes and define manual and automated tests for data and functionality using SQL, Python, and other relevant technologies.
Investigate and resolve data exceptions and irregularities across internal data sources and external vendors.
Requirements
1–3 years of relevant business analyst experience, including internship or co-op experience; investment management or FinTech experience is preferred.
Proficiency in SQL and data analysis to support system design and testing.
Proficiency in Python for rapid prototyping.
Understanding of conceptual and logical data modeling and design.
Experience onboarding large structured and unstructured datasets and validating data quality.
Experience with investment data management, especially IBOR or other book-of-record systems.
Experience with agile software development methodologies and tools.
Experience with business intelligence tools such as Tableau, Power BI, or equivalent, and understanding of DevOps, CI/CD practices, and tools.
Track record of completing high-intensity, high-complexity projects; a bachelor’s degree in arts, science, or equivalent experience.
Must be authorized to work in the United States without current or future HarbourVest immigration sponsorship.
Culture & Benefits
Collaborative, open-door, inclusive environment that values diversity, integrity, innovation, and mutual respect.
Hybrid work arrangement with manager-approved remote-work flexibility.
Comprehensive total-rewards package may include retirement contributions, health insurance, income protection, paid time off, leave benefits, and well-being programs.
Eligible for a discretionary annual bonus based on individual and firm performance.
Potential participation in long-term reward programs, typically for more senior roles.
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 →