1 месяц назад
Pricing and Reference Data Implementation Specialist (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Pricing and Reference Data Implementation Specialist (Fintech): Implementing client-specific pricing and reference data solutions for financial instruments with an accent on data transformation, feed integration, testing, and client requirements analysis. Focus on troubleshooting complex data issues, streamlining data workflows, and designing solutions across SQL databases, cloud services, APIs, and proprietary data feeds.
Location: Sofia, Bulgaria; full-time, office-based role
Company
provides financial data, analytics, and software solutions to investment professionals, financial institutions, and corporations worldwide.
What you will do
- Gather client requirements and prepare proof-of-concept files.
- Transform, filter, validate, and test pricing and reference data solutions.
- Design implementation processes and troubleshoot feed integration and data issues.
- Collaborate with sales, product, engineering, consulting, and pre-sales coverage teams.
- Develop expertise in instrument identifiers, prices, corporate actions, terms and conditions, and derived analytics.
- Support product development, client relationship management, standardization, training, and complex-situation debriefing.
Requirements
- University degree in data, business, technology, or a related field.
- At least one year of professional experience.
- Interest in data, technology, and financial markets, with knowledge of financial products and instruments.
- Experience with data management and query languages, plus the ability to navigate Excel functions and code arguments.
- Strong organization, communication, collaboration, adaptability, and prioritization skills.
- Ability to analyze, validate, and interpret complex datasets and resolve reconciliation or feed integration issues.
Nice to have
- Experience with financial data and security types including equities, fixed income, derivatives, foreign exchange, and commodities.
- Data modeling experience with SQL or Python.
- Experience with FQL and Screening syntax.
- Participation in the CFA Program or technology certifications such as AWS Cloud Practitioner, Snowflake, or Power BI.
Culture & Benefits
- Work with proprietary data technologies, cloud and managed services, standard data feeds, APIs, partner data, and exchange data.
- Collaborate with international teams supporting more than 8,200 global clients and over 200,000 users.
- Contribute ideas to product development and the evolution of the pricing and reference data offering.
- Work in an environment that values diverse perspectives, curiosity, and collaborative problem-solving.
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