Beacon Platform

HQ
New York, New York, USA
146 Total Employees
Year Founded: 2014

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Jobs at Beacon Platform

Search the 5 jobs at Beacon Platform

2 Days Ago
New York, NY, USA
Cloud • Fintech • Financial Services
Beacon is a financial technology firm focused on developing a platform for trading and risk management. They provide tools and infrastructure to help firms migrate to the cloud and manage risk across asset classes.
2 Days Ago
London, Greater London, England, GBR
Cloud • Fintech • Financial Services
As a Senior Quantitative Developer at Beacon, you will enhance the Commodities/Energy product offering, focusing on building analytics for trading and risk management. Collaborating with various teams, you will develop models for portfolio valuation and risk assessment in global commodities markets, while also producing documentation and supporting client interactions as needed.
3 Days Ago
London, Greater London, England, GBR
Cloud • Fintech • Financial Services
Beacon is looking for distinguished candidates for future openings, particularly quantitative developers proficient in analytics, trading, and risk management applications. Keen innovators with a background in financial technology may find opportunities to contribute to an engaging and impactful culture.
15 Days Ago
New York, NY, USA
Cloud • Fintech • Financial Services
The Strategic Finance Associate will support financial planning, budgeting, forecasting, and analysis functions. Responsibilities include strategic financial analysis, FP&A, and operational support. The role requires strong analytical skills and collaboration with senior management. Qualifications include a Bachelor's degree in Finance or a related field, 2-4 years of experience, and proficiency in financial modeling and Microsoft Excel.
24 Days Ago
New York, NY, USA
Cloud • Fintech • Financial Services
The Senior Data Architect will design and implement scalable data frameworks for high-performance analytics and real-time data processing, ensuring data integrity and security. Responsibilities include developing data models, collaborating on data strategy, and optimizing data infrastructure while guiding engineering teams on best practices and technology selection.