2 дня назад
Product Manager (Fintech)
122 311 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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