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Senior Software Engineer - Sustainable Finance Solutions (SFS)

Location

New York

Business Area

Engineering and CTO

Ref #

10045305

Description & Requirements

At Sustainable Finance Solutions (SFS), we empower clients to assess the long-term sustainability and financial outlook of companies through data-driven insight into climate risks, regulatory shifts, and human capital trends.

As investors increasingly seek more socially responsible investing or as they aim to better understand sustainability-related risks and opportunities, our work is becoming central to how they make informed investment and strategic decisions.

The SFS Engineering Team is at the core of this mission. We design and build the infrastructure that powers our sustainable finance products—handling vast and complex datasets, delivering high-performance APIs, and solving distributed systems challenges at scale. We work on everything from ingesting hundreds of millions of climate scenario records to serving low-latency queries for regulatory reporting and research tools.

We are a growth-oriented team that encourages and nurtures innovation. We are passionate about writing high-quality software, with a strong focus on developer experience, automation, and testability. If you're excited by the challenge of building robust technical foundations that enable forward-looking financial tools, we’d love to work with you.

We will trust you to:

+ Design, build, and maintain clean, high-quality, and reliable code

+ Take full ownership of products and the technical decisions behind them

+ Contribute to the team’s daily operations and help improve how we work together

+ Stay curious and explore new technologies that can strengthen our systems

+ Tackle complex scaling and distributed system challenges using both open-source and Bloomberg-developed tools

You will need to have:

+ 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)

+ Strong communication skills and ability to collaborate with diverse stakeholders

+ Familiarity with observability tools like Grafana, Splunk, or Humio

+ Experience with CI/CD tooling and automation

+ A degree in Computer Science, Computer Engineering, or equivalent practical experience

We would love to see:

+ Proficiency in Python

+ Experience in designing and building high-volume, scalable, maintainable, high-availability systems

+ Background in driving architectural decisions and leading cross-team projects

+ Familiarity with Kafka and data lake technologies at scale

+ A strong commitment to clean, reliable, and maintainable code

Experience in mentoring less experienced engineers

Salary Range = 160000 - 240000 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.

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 [email protected]