Overview
On Site
Full Time
Skills
Bloomberg
Trading
Quantitative Analysis
Big Data
Distributed Computing
Functional Programming
Machine Learning (ML)
Pricing
Analytics
Real-time
Fixed Income
Derivatives
Financial Software
Algorithms
Microsoft Excel
TypeScript
Open Source
Apache Kafka
Apache Spark
Apache Cassandra
Redis
Software Development
Automated Testing
Continuous Integration
Continuous Delivery
Object-Oriented Programming
C
C++
Python
Java
Computer Science
Mathematics
Systems Design
Project Implementation
Programming Languages
JavaScript
Scala
Objective Caml
Finance
Data Analysis
Computational Finance
High Availability
Job Details
Bloomberg is the global leader in financial data and analytics. The Fixed Income and Derivatives Engineering team produces 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 group also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, financial 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?
As a member of the Fixed Income and Derivatives Engineering team, you'll contribute to a high-performance financial software system that handles billions of calculations per day. You'll gain hands-on experience in data analytics, distributed algorithms, and performance optimized code, all while gaining an advanced knowledge of financial instruments and markets. We seek passionate engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient solutions to complex problems. Proficiency in object-oriented programming languages like C++, Python, or TypeScript is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, Spark, 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.
You'll need to have:
While building innovative technology is at the core of what we do, our group also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, financial 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?
As a member of the Fixed Income and Derivatives Engineering team, you'll contribute to a high-performance financial software system that handles billions of calculations per day. You'll gain hands-on experience in data analytics, distributed algorithms, and performance optimized code, all while gaining an advanced knowledge of financial instruments and markets. We seek passionate engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient solutions to complex problems. Proficiency in object-oriented programming languages like C++, Python, or TypeScript is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, Spark, 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.
You'll need to have:
- 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
- A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software
- Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
- Proficient in adapting project execution to meet evolving demands
- Experience with other programming languages such as Javascript, Scala, and OCaml
- An interest in financial markets or a background in data analytics or financial engineering
- Experience with high volume, high availability distributed systems
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.