OneMain Financial Jobs

Senior Software Engineer - Pricing Analytics

Location

Dublin

Business Area

Engineering and CTO

Ref #

10049069

Description & Requirements

Our core product, The Bloomberg Terminal, is used by 400,000 financial professionals around the world. It's continuously being developed and improved by about 6,000 engineers that are experts in their field.

The Composite Pricing Ingestion Analytics team is a high-impact, cross-asset engineering group responsible for safeguarding the quality, stability, and integrity of Bloomberg’s composite pricing data contributions across derivatives: FX, commodities, credit derivatives, and related asset classes. Our systems are designed for scale, performance, and reliability, processing billions of multi-dimensional time-series data points daily from a diverse set of global contributors at the core of Bloomberg’s pricing infrastructure.

As part of this team, you will design and build scalable, high-performance, real-time cross-asset anomaly detection and monitoring systems, leveraging distributed streaming and data science platforms in Python and Java. This role offers the opportunity to work at the intersection of large-scale market data engineering, distributed systems and applied machine learning, solving complex cross-asset problems at global scale while shaping the future of Bloomberg’s pricing quality platform.

What’s in it for you?

• Build scalable infrastructure used by global financial institutions daily

• The chance to work with distributed streaming, applied machine learning, and performance-critical distributed systems

• Collaborate with experienced engineers, Data Analysts and Products across London, New York & San Francisco on a high-visibility product

• Grow quickly in a team that values mentorship, ownership, and technical excellence

We’ll trust you to

• Design and implement distributed systems that deliver scalable and high-performance market data solutions

• Build APIs, services, and tooling to enable downstream applications to consume data efficiently and reliably

• Optimise codebases and system performance to handle billions of daily time-series data with low latency

• Ship clean, maintainable code in iterative development cycles with a collaborative team

You’ll Need to Have

• A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

• Demonstrated experience developing production ready applications in an OOP language (ideally Python or Java)

• Experience building or supporting distributed systems and infrastructure

• Familiarity with distributed messaging and streaming frameworks such as Kafka, Spark

• Comfort with debugging and optimising performance-critical code

We’d Love to See

• Experience working in financial services or large-scale data infrastructure

• Experience with containerised development using Docker

• Exposure to enterprise clients or B2B platform integration

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

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Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net