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2 дня назад

Product Manager (Fintech)

122 311 - 150 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager (Fintech/Data): Collecting and interpreting complex financial datasets, translating business and technical requirements, and supporting data-driven system improvements with an accent on SQL validation, automated data processing, and client-specific calculation methodologies. Focus on reverse engineering calculation samples, designing test plans, managing data migration and deployments, and resolving defects that affect data accuracy and system stability.

Location: Boston, MA, United States; remote work permitted 2 days per week

Salary: $122,311–$150,000 per year, plus discretionary bonuses and profit-sharing.

Company

hirify.global is a global financial services firm providing investor services, capital partner solutions, technology solutions, and specialist expertise.

What you will do

  • Collect, analyze, and interpret complex datasets from internal and external sources to produce actionable business insights.
  • Identify data patterns, trends, anomalies, and opportunities to improve automated aggregation and transformation rules.
  • Reverse engineer calculation samples to validate and replicate client-specific methodologies and requirements.
  • Elicit, analyze, document, and translate functional and technical requirements, including gap analysis against business objectives.
  • Develop and execute test plans, identify system defects, and support resolution to ensure data accuracy and system stability.
  • Manage project plans, risks, data migration, deployment planning, production implementation support, and operational improvements.

Requirements

  • Bachelor’s degree in Finance, Economics, or a closely related quantitative field.
  • Five years of progressive, post-baccalaureate experience in the offered role or a related occupation.
  • Five years of experience with advanced data collection, analysis, and interpretation.
  • Production data querying and validation using SQL.
  • Data transformation, cleaning, and validation from raw data into accurate structured formats, including exception and inconsistency checks.
  • Automated data processing, workflow management, functional and technical requirements gathering, and testing.

Culture & Benefits

  • Private partnership with a 200-year legacy and a focus on long-term client and employee relationships.
  • Collaborative environment emphasizing collective problem-solving, idea sharing, and mentoring.
  • Benefits covering long-term savings, healthcare, income protection, professional development, and paid time off.
  • Compensation includes base salary, discretionary bonuses, and profit-sharing.
  • Equal opportunity workplace supporting diverse experiences and transferable skillsets.

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