About the Role
Serve as a technical advisor for financial services institutions adopting high-performance computing and AI technologies. Translate business requirements into scalable system architectures and support deployment of solutions aligned with client objectives and regulatory environments.
Responsibilities
- Collaborate with financial institutions to assess technical needs and integration requirements
- Design system architectures leveraging accelerated computing platforms
- Deliver technical proof-of-concept implementations for risk analysis and trading systems
- Partner with product teams to convey customer feedback and feature requests
- Develop reference architectures for fraud detection and algorithmic trading applications
- Support sales engagements with technical expertise during procurement cycles
- Create deployment blueprints for hybrid cloud and on-premises environments
- Lead technical workshops and solution demonstrations for client stakeholders
- Evaluate performance benchmarks for computational finance workloads
- Document integration patterns for regulatory reporting systems
- Advise on infrastructure modernization strategies for legacy financial platforms
- Provide input on roadmap planning based on industry trends
- Coordinate with security teams to ensure compliance with financial data standards
- Troubleshoot deployment challenges in production environments
- Mentor junior team members on financial services domain knowledge
- Present technical updates at internal and customer-facing forums
- Assist in developing go-to-market materials for new product launches
- Validate interoperability with third-party financial software ecosystems
- Monitor emerging regulations affecting computational infrastructure
- Optimize resource utilization for high-frequency trading environments
- Facilitate knowledge transfer between engineering and client teams
- Analyze total cost of ownership for proposed solution designs
- Support incident resolution for mission-critical financial applications
- Evaluate scalability of machine learning models in portfolio management
- Maintain up-to-date understanding of capital markets technology stacks
Nice to Have
- Master’s degree in computer science, engineering, or quantitative finance
- Experience with AI frameworks in trading or risk management contexts
- Background in high-performance computing for financial modeling
- Certifications in cloud platforms or system architecture
- Prior work with regulatory technology solutions
- Familiarity with quantum computing applications in finance
- Contributions to open-source projects related to financial technology
Compensation
Competitive salary and benefits package commensurate with experience
Work Arrangement
Hybrid work model with flexibility based on location and role requirements
Team
Part of the global solutions engineering team focused on strategic industry verticals
Why This Role Matters
Financial institutions face increasing pressure to process vast amounts of data quickly and securely. This role directly enables organizations to modernize infrastructure, improve decision-making speed, and maintain competitive advantage through advanced computing technologies.
What You’ll Do
Work closely with banks, hedge funds, and insurance companies to design systems that handle complex computational workloads. Focus on optimizing performance, reducing latency, and ensuring reliability in mission-critical financial applications.
Available for qualified candidates based on business needs and eligibility
