Application Engineer

We are seeking a highly skilled Security Master Developer with expertise in building and maintaining security master systems, managing reference data, and developing high-performance solutions using C# and Python. The ideal candidate will be responsible for designing, developing, and enhancing a robust security master platform that integrates data from multiple sources, ensures data integrity, and provides accurate, real-time information for trading, risk management, and compliance teams.

Security Master Development:

• Design, develop, and maintain a scalable and reliable security master platform to manage security and reference data.
• Integrate and normalize data feeds from various sources such as Bloomberg, Reuters, ICE, and other financial market data providers.
• Develop APIs and services to support real-time and batch data processing.

Reference Data Management:

• Build and maintain reference data repositories for asset classes such as equities, fixed income, derivatives, and other financial instruments.
• Implement data validation, cleansing, and transformation processes to ensure high data quality and consistency.
• Monitor data integrity and resolve discrepancies between different data sources.

Application Development:

• Develop and optimize core modules and services using C# and Python.
• Build automation scripts and data pipelines to improve data ingestion, processing, and distribution.
• Develop front-end and back-end components for managing and querying reference data.

Data Governance & Compliance:

• Implement and enforce data governance policies and best practices.
• Ensure compliance with regulatory standards related to financial data and reporting.

Performance Optimization & Monitoring:

• Optimize system performance to handle high volumes of market data efficiently.
• Implement monitoring, logging, and alerting systems to identify and resolve data processing issues.

Collaboration & Stakeholder Management:

• Collaborate with business teams, including trading, risk, compliance, and operations, to understand data requirements and ensure timely delivery of accurate data.
• Work closely with DevOps and infrastructure teams to ensure smooth deployment and system reliability.

Required Qualifications:

• Strong expertise in C# and Python for developing data-driven applications.
• Experience building and managing security master/reference data platforms.
• In-depth knowledge of data structures, algorithms, and object-oriented design.
• Hands-on experience with APIs, web services, and microservices architecture.
• Strong understanding of relational databases (SQL Server, PostgreSQL) and data modeling principles.

Financial Domain Expertise:

• Extensive experience with financial securities, asset classes, and market data (e.g., equities, fixed income, derivatives).
• Deep understanding of reference data models and symbology mapping (e.g., ISIN, CUSIP, SEDOL, Bloomberg IDs).
• Familiarity with industry-standard market data providers (e.g., Bloomberg, Refinitiv, ICE).

We are seeking a highly skilled Security Master Developer with expertise in building and maintaining security master systems, managing reference data, and developing high-performance solutions using C# and Python. The ideal candidate will be responsible for designing, developing, and enhancing a robust security master platform that integrates data from multiple sources, ensures data integrity, and provides accurate, real-time information for trading, risk management, and compliance teams.

Security Master Development:

• Design, develop, and maintain a scalable and reliable security master platform to manage security and reference data.
• Integrate and normalize data feeds from various sources such as Bloomberg, Reuters, ICE, and other financial market data providers.
• Develop APIs and services to support real-time and batch data processing.

Reference Data Management:

• Build and maintain reference data repositories for asset classes such as equities, fixed income, derivatives, and other financial instruments.
• Implement data validation, cleansing, and transformation processes to ensure high data quality and consistency.
• Monitor data integrity and resolve discrepancies between different data sources.

Application Development:

• Develop and optimize core modules and services using C# and Python.
• Build automation scripts and data pipelines to improve data ingestion, processing, and distribution.
• Develop front-end and back-end components for managing and querying reference data.

Data Governance & Compliance:

• Implement and enforce data governance policies and best practices.
• Ensure compliance with regulatory standards related to financial data and reporting.

Performance Optimization & Monitoring:

• Optimize system performance to handle high volumes of market data efficiently.
• Implement monitoring, logging, and alerting systems to identify and resolve data processing issues.

Collaboration & Stakeholder Management:

• Collaborate with business teams, including trading, risk, compliance, and operations, to understand data requirements and ensure timely delivery of accurate data.
• Work closely with DevOps and infrastructure teams to ensure smooth deployment and system reliability.

Required Qualifications:

• Strong expertise in C# and Python for developing data-driven applications.
• Experience building and managing security master/reference data platforms.
• In-depth knowledge of data structures, algorithms, and object-oriented design.
• Hands-on experience with APIs, web services, and microservices architecture.
• Strong understanding of relational databases (SQL Server, PostgreSQL) and data modeling principles.

Financial Domain Expertise:

• Extensive experience with financial securities, asset classes, and market data (e.g., equities, fixed income, derivatives).
• Deep understanding of reference data models and symbology mapping (e.g., ISIN, CUSIP, SEDOL, Bloomberg IDs).
• Familiarity with industry-standard market data providers (e.g., Bloomberg, Refinitiv, ICE).