Software Engineer (Fintech)

TL;DR

Software Engineer (Fintech): Designing and implementing robust, low-latency systems for pricing, quoting, and hedging financial instruments with an accent on risk and P&L management platforms. Focus on leveraging AI-driven analytics for predictive pricing strategies and building massively scalable software for global banking markets.

Location: New York, NY, United States

Salary: $115,000 - $180,000

Company

A leading global investment banking, securities and investment management firm founded in 1869.

What you will do

• Develop cutting-edge, low-latency systems for pricing, quoting, and hedging instruments like USTs, Swaps, and MBS.
• Build innovative platforms for efficient risk and P&L management for trading desks.
• Leverage AI-driven analytics for sophisticated data analysis and predictive pricing strategies.
• Architect and maintain massively scalable software and low-latency infrastructure solutions.
• Collaborate in a fast-paced global environment to solve complex engineering problems for clients.

Requirements

• Advanced degree in Computer Science or equivalent work experience.
• Minimum 2 years of professional experience using Java, C/C++, or Python.
• Must be based in New York, NY.
• Strong analytical skills with the ability to quickly identify scope and impact of issues.
• Proficiency with algorithms, data structures, and software design.
• Team-oriented mindset with strong interpersonal and communication skills.

Nice to have

• Experience in Financial Services or Fintech.
• Experience with AWS and microservice architectures (SOA).
• Knowledge of UNIX operating systems internals and infrastructure as code (Terraform).
• Experience with distributed tracing, performance testing, authentication, and authorization.
• Background in working on high-availability, mission-critical systems.

Culture & Benefits

• Competitive benefits and wellness offerings for active full-time US employees.
• Commitment to diversity and inclusion with numerous opportunities for professional growth.
• Access to firmwide networks and mindfulness programs.
• Environment focused on innovation, leveraging AI and financial engineering.