Design, maintain and support real-time financial market data models — working with large financial datasets, Snowflake, SQL and Python to keep data products accurate and resilient for clients. Job Duties

Design, develop, maintain and support real-time financial market data models within TP ICAP's proprietary pricing and analytics applications (Tailor and Axiom), ensuring high-quality, accurate and resilient data products for clients.

Investigate, analyse and resolve data quality and production issues by working with large financial datasets, historical market data and multiple internal/external data sources.

Query and analyse data stored in Snowflake using SQL and Python to validate model outputs, investigate anomalies and support product development.

Work closely with Product, Market Data and Data Engineering to implement new analytics, enhance existing products and support strategic initiatives.

Manage multiple priorities in a fast-paced production environment, taking ownership of issues through to resolution while maintaining high levels of accuracy and attention to detail.

Continuously identify opportunities to improve calculation methodologies, automation, data quality and operational processes. Knowledge, Skills & Experience

Degree in Finance, Economics, Engineering,



Computer Science or a related quantitative discipline (or equivalent experience).

Experience within Financial Markets, Market Data, or Energy & Commodities is desirable.

Strong analytical and problem-solving skills.

Experience using SQL to query and analyse large datasets.

Working knowledge of Python for data analysis and validation.

Excellent attention to detail and ability to work independently after training.

Comfortable working in a fast-paced, production-focused environment with competing priorities.

Strong communication skills and the ability to collaborate with technical and business stakeholders.

Experience with real-time market data or financial data products would be advantageous, but not essential. What we're looking for

Degree in a quantitative discipline (or equivalent experience)

Strong analytical and problem-solving skills

SQL for querying and analysing large datasets

Working knowledge of Python for data analysis and validation

Excellent attention to detail; independent after training

Strong communication with technical and business stakeholders

Financial markets / market data experience desirable

📌 Analytics and Data Product Specialist / Real Time Data Analyst (Bogotá)
🏢 Eighteen Eight Data Solutions
📍 Bogotá