Job summary
Job post source
This job is directly from Bloomberg
Job overview
The Senior Software Engineer role at Bloomberg's Fixed Income and Derivatives Engineering team focuses on developing high-performance financial software to support trading and risk management for fixed income and derivatives markets.
Responsibilities and impact
The engineer will build scalable, modular software using object-oriented programming, collaborate with product managers and quantitative analysts, and leverage big data and distributed computing technologies to implement complex financial models and real-time analytics.
Compensation and benefits
The position offers a salary range of $160,000 to $240,000 annually, plus bonuses and comprehensive benefits including medical, dental, vision, 401(k) with match, paid time off, and wellness programs.
Experience and skills
Candidates need 4+ years in object-oriented programming, a relevant degree or equivalent experience, proficiency in system design and scalable software development, with preferred skills in additional languages and financial markets knowledge.
Career development
The role provides opportunities to work with cutting-edge technologies, gain expertise in financial instruments and markets, and contribute to innovative solutions in a collaborative environment.
Work environment and culture
Bloomberg promotes a diverse, collaborative culture emphasizing innovation, best practices, and continuous learning in a high-performance engineering team.
Company information
Bloomberg is a global leader in financial data and analytics, known for its advanced technology solutions in financial markets and big data analytics.
Team overview
The candidate will join the Fixed Income and Derivatives Engineering team, which works closely with product managers, financial engineers, and quantitative analysts to build sophisticated financial applications.
Job location and travel
The job is based in New York, within Bloomberg's Engineering and CTO business area.
Unique job features
The role involves working with advanced technologies like Apache Kafka, Spark, Cassandra, Redis, and machine learning to develop full-stack financial software solutions.
Company overview
Bloomberg is a global financial services, software, and media company known for providing real-time data, analytics, and news to financial professionals. They generate revenue through their Bloomberg Terminal subscription service, which offers comprehensive financial data and tools, as well as through their media division, including Bloomberg News and Bloomberg Television. Founded in 1981 by Michael Bloomberg, the company has grown to become a cornerstone of the financial industry, renowned for its accuracy, speed, and breadth of information.
How to land this job
Tailor your resume to emphasize 4+ years of experience in object-oriented programming languages such as C++, Python, or Java, highlighting system design and scalable software development skills relevant to Bloomberg's Fixed Income and Derivatives Engineering team.
Showcase your ability to collaborate with cross-functional teams including product managers, financial engineers, and quantitative analysts, as well as your adaptability to evolving project demands and passion for leading innovative discussions.
Apply on multiple platforms including Bloomberg's official careers page and LinkedIn to maximize your chances of visibility and consider job boards specializing in fintech roles.
Connect with current Bloomberg engineers or product managers in the Fixed Income and Derivatives division on LinkedIn; start conversations by referencing recent Bloomberg technology initiatives, asking about team culture, or discussing recent trends in financial software engineering.
Optimize your resume for ATS by incorporating keywords from the job description such as 'distributed computing,' 'big data technologies,' 'functional programming,' 'machine learning,' 'high availability distributed systems,' and specific tools like 'Apache Kafka' and 'Spark.'
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify relevant job posting channels, and find LinkedIn connections to network with, freeing you to focus on preparing for interviews and enhancing your skills.
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