6 дней назад
Software Engineer - Credit Engineering - Vice President (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - Credit Engineering - Vice President (AI) (Java/C++/React): Building workflow tools for credit trading and sales across quoting, data analytics, and AI workflow integration with an accent on real-time processing, distributed systems, and electronic trading. Focus on optimizing concurrent applications, deriving commercial insights from complex data, and managing experienced developers while improving system reliability.
Location: London, Greater London, England, United Kingdom
Company
is a global financial services firm providing investment banking, securities, and investment management services.
What you will do
- Build full-stack workflow tools for credit trading and sales activities, including quoting, data analytics, and AI workflow integration.
- Develop and optimize front-to-back systems in collaboration with business stakeholders and global engineering teams.
- Design solutions for real-time data processing, distributed systems, and concurrent applications.
- Analyze complex data sets to generate commercial insights and improve system performance.
- Manage and support experienced developers while contributing to key engineering initiatives.
Requirements
- Bachelor’s or master’s degree in computer science or a closely related field.
- At least 6 years of software development experience.
- Strong Java and/or C++ experience, including multi-threaded and concurrent applications.
- Proficiency in TypeScript, React, HTML5/CSS3, and Redux or Zustand.
- Experience with real-time data processing, distributed systems, automated testing, DevOps, and continuous deployment.
- Experience in electronic trading or financial markets, with strong communication and problem-solving skills.
Nice to have
- Demonstrated interest in incorporating AI tooling and machine learning into development workflows.
Culture & Benefits
- Engineering work focused on scalable software, low-latency infrastructure, machine learning, and financial engineering.
- Opportunities for professional and personal development through training and firmwide networks.
- Benefits supporting wellness and personal finance.
- Commitment to diversity, inclusion, and reasonable accommodations during recruitment.
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