10 дней назад
Data Analyst (Financial Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Financial Data): Researching complex issues across financial data sources and maintaining data products and services with an accent on data quality, calculation methodologies, and infrastructure efficiency. Focus on investigating anomalies, coordinating with data suppliers, and solving client data questions across fixed income, equities, ETFs, and commodities.
Location: Manila, Philippines; hybrid work model with 2 days per week in the office, working hours from 9am to 6pm
Company
provides a data network and intelligence architecture for capital markets, supporting institutional investors, asset managers, and service providers.
What you will do
- Maintain and support products and services.
- Research complex issues involving financial data sources across fixed income, equities, ETFs, and commodities.
- Collaborate with data developers and performance analysts to improve data quality and data infrastructure efficiency.
- Respond to data questions from clients and client-facing teams.
- Coordinate with data suppliers on calculation methodologies and data anomalies.
- Support ’ commitment to data quality.
Requirements
- Bachelor’s or master’s degree in finance, science, engineering, mathematics, or a related field.
- Strong problem-solving, analytical, communication, and interpersonal skills.
- Ability to work independently, take initiative, multitask, and prioritize effectively.
- Strong verbal and written English communication skills.
- Interest in technology combined with an appreciation for process and structure.
- Ability to work in a hybrid model with 2 days per week in the Manila office.
Nice to have
- Knowledge of financial markets and financial data.
- Previous experience in the financial industry.
- Experience with Python or Perl.
- Knowledge of SQL.
- Hands-on experience with Databricks or similar distributed data processing platforms.
Culture & Benefits
- Hybrid work model with regular office collaboration.
- Opportunity to work within a global data organization.
- Focus on diversity and inclusion across recruitment, retention, career progression, and training.
- Exposure to financial data products used by institutional investors and asset managers.
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 →