Senior Asset Control Developer

We are looking for a Senior Asset Developer to join our team, and your role is to:

Bloomberg Data Integration

• Design and implement Bloomberg API integrations (BLPAPI, B-PIPE, SAPI)

• Develop real-time and batch data acquisition processes for market data, reference data, and corporate actions

• Build and maintain Bloomberg Terminal integrations and custom applications

• Implement data validation and quality control mechanisms for Bloomberg feeds

• Troubleshoot Bloomberg connectivity issues and optimize data retrieval performance

Asset Control Development

• Develop asset control applications for trade reconciliation and position management

• Implement automated reconciliation processes between trading systems and custodian banks

• Build exception management and reporting systems for asset control operations

• Create dashboards and monitoring tools for real-time asset control oversight

• Develop NAV calculation and portfolio valuation systems

System Integration

• Design microservices architecture for financial data processing

• Implement RESTful APIs and messaging systems (JMS, Kafka) for data distribution

• Integrate with core banking systems, trading platforms, and risk management tools

• Develop ETL processes for data transformation and loading into data warehouses

• Ensure system scalability, reliability, and performance optimization

Technical Leadership

• Provide technical expertise and guidance on Bloomberg integration best practices

• Conduct code reviews and mentor junior developers

• Collaborate with business analysts and asset control teams to gather requirements

• Document technical specifications and system architecture decisions

Required Technical Skills

Core Java Development

• Java 11+ with advanced knowledge of concurrent programming and performance optimization

• Spring Framework (Boot, Security, Data JPA, Integration)

• Microservices architecture and distributed systems design

• RESTful web services and API development

• JUnit/TestNG for unit and integration testing

Bloomberg Expertise

• Bloomberg API (BLPAPI) - minimum 3 years hands-on experience

• Bloomberg B-PIPE or Server API (SAPI) integration

• Bloomberg Terminal application development

• Bloomberg Data License and data model understanding

• Experience with Bloomberg TOMS, AIM, or PORT applications (preferred)

Financial Markets Knowledge

• Asset control processes and reconciliation methodologies

• Understanding of financial instruments (equities, fixed income, derivatives, FX)

• Corporate actions processing and lifecycle management

• Market data concepts (real-time vs. delayed, reference data vs. market data)

• Regulatory requirements (MiFID II, EMIR, Basel III awareness preferred)

Database & Integration

• SQL databases (Oracle, PostgreSQL, SQL Server)

• Message queuing systems (Apache Kafka, RabbitMQ, IBM MQ)

• Data modeling and ETL process design

• Cache solutions (Redis, Hazelcast)

• NoSQL databases (MongoDB, Elasticsearch) - preferred

DevOps & Tools

• Git version control and CI/CD pipelines

• Docker containerization and Kubernetes orchestration

• Maven/Gradle build automation

• Linux/Unix system administration

• Jenkins or similar CI/CD tools

• Cloud platforms (AWS) experience preferred

Experience Requirements

• Minimum 5 years of Java development experience in financial services

• 3+ years of hands-on Bloomberg API integration experience

• 2+ years in asset control, trade reconciliation, or portfolio management systems

• Experience with high-volume, low-latency financial data processing

• Previous consulting experience with ability to work independently

• Experience in Agile/Scrum development methodologies

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, or related field

• Master's degree or relevant financial certifications (CFA, FRM) preferred

• Strong analytical and problem-solving abilities

• Excellent written and verbal communication skills in English

• Ability to work in fast-paced, deadline-driven environments

• Strong attention to detail and commitment to data accuracy