Overview
On Site
USD 160,000.00 - 240,000.00 per year
Full Time
Skills
Trading
Data Management
Quantitative Analysis
Big Data
Distributed Computing
Functional Programming
Pricing
Analytics
Real-time
Fixed Income
Derivatives
Reference Data
FOCUS
Artificial Intelligence
Workflow
Microsoft Excel
Open Source
Apache Kafka
MySQL
Apache Solr
Apache Spark
Kubernetes
Apache Cassandra
Redis
Software Development
Automated Testing
Continuous Integration
Continuous Delivery
Software Development Methodology
Collaboration
Agile
Object-Oriented Programming
Python
C
C++
Java
TypeScript
Computer Science
Software Engineering
Mathematics
Systems Design
Data Modeling
User Interface Design
Project Implementation
Analytical Skill
Creative Problem Solving
Finance
Data Analysis
Computational Finance
High Availability
Microservices
Data Science
Machine Learning (ML)
Natural Language Processing
Data Processing
NoSQL
Database
Training
Life Insurance
Bloomberg
Podcast
Job Details
Description & Requirements
Bloomberg is the global leader in financial data and analytics. The Fixed Income and Derivatives Data Technologies Engineering department produces data, applications, and tools that enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.
While building innovative technology is at the core of what we do, our department also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, data management professionals, financial engineers, data engineers, and quantitative analysts to understand client and market needs. We use cutting edge big data technologies, distributed computing, functional programming, and machine learning to build software solutions that help us implement complex financial and quantitative models to facilitate pricing and analytics in real-time.
What's in it for you?
The Fixed Income and Derivatives Data Technologies Engineering group designs and builds high performance, low latency, distributed, and scalable data processing pipelines to extract, transform, and publish high quality financial reference data from external sources and into Bloomberg's ecosystem. We focus on building automated data processing pipelines using cutting-edge AI solutions and we complement that with manual remediation workflow tools. As a member of our group, you'll gain hands-on experience in designing and developing these systems, all while gaining an advanced knowledge of financial instruments and markets. We seek passionate and skilled engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient end-to-end solutions to complex problems. Proficiency in object-oriented programming languages like Python or C++ is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, MySQL, Solr, Spark, Kubernetes, Cassandra, and Redis (plus many more!) to design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD.
We'll trust you to:
You'll need to have:
We'd love to see:
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg is the global leader in financial data and analytics. The Fixed Income and Derivatives Data Technologies Engineering department produces data, applications, and tools that enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.
While building innovative technology is at the core of what we do, our department also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, data management professionals, financial engineers, data engineers, and quantitative analysts to understand client and market needs. We use cutting edge big data technologies, distributed computing, functional programming, and machine learning to build software solutions that help us implement complex financial and quantitative models to facilitate pricing and analytics in real-time.
What's in it for you?
The Fixed Income and Derivatives Data Technologies Engineering group designs and builds high performance, low latency, distributed, and scalable data processing pipelines to extract, transform, and publish high quality financial reference data from external sources and into Bloomberg's ecosystem. We focus on building automated data processing pipelines using cutting-edge AI solutions and we complement that with manual remediation workflow tools. As a member of our group, you'll gain hands-on experience in designing and developing these systems, all while gaining an advanced knowledge of financial instruments and markets. We seek passionate and skilled engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient end-to-end solutions to complex problems. Proficiency in object-oriented programming languages like Python or C++ is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, MySQL, Solr, Spark, Kubernetes, Cassandra, and Redis (plus many more!) to design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD.
We'll trust you to:
- Take ownership of the critical products and their designs, and then build and iterate at a rapid and incremental pace following the full SDLC best practices.
- Work with a variety of technologies to develop innovative solutions.
- Collaborate proactively in an agile, fast-paced team that works closely with other engineering teams, product/business teams, and data teams.
- Be a passionate problem solver and think outside the box and take smart, calculated risks to deliver the highest business value.
- Deliver on time without compromising on quality, and while displaying strong software craftsmanship.
You'll need to have:
- 4+ years of hands-on experience with an object-oriented programming language (Python, C/C++, Java, TypeScript, etc.)
- A degree in Computer Science, Software Engineering, Engineering, Mathematics, similar field of study or equivalent work experience
- Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable full stack software
- Proficient with database programming and data modeling
- Comfortable with user interface design and development
- Passion for leading discussions, sharing innovative ideas, collaborating, and promoting best practices within the team
- Proficient in adapting project execution to meet evolving demands
- Strong analytical and creative problem solving skills
We'd love to see:
- An interest in financial markets or a background in data analytics or financial engineering
- Experience with high volume, high availability, large-scale distributed systems
- Experience working with Microservice architectural style
- Familiarity with data science and LLM/ML/NLP techniques to help with automation of data processing pipelines
- Familiarity with NoSQL Databases
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.