Orchestrade Platform Engineer - FinTech, Front-to-Back

Referment

Greater London

On-site

GBP 90,000 - 140,000

Full time

35 hours ago
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Job summary

Referment is partnering with a global investment firm to build a new post-trade platform. You will be an Orchestrade specialist combining hands-on platform expertise with a strong understanding of financial products, risk and market data.

You will join an operations software engineering team and work closely with developers, finance teams and platform users. The remit spans integration, deployment and administration as well as the implementation of financial models and analytics, making this a

Qualifications

  • Hands-on Orchestrade experience with deployments.
  • Proficient in Python and SQL for automation and integration.
  • Strong understanding of financial instruments, risk analytics and market data.
  • Bachelor's degree in CS, finance, engineering or a related discipline.

Responsibilities

  • Integrate Orchestrade with other enterprise systems with finance stakeholders.
  • Deploy, administer and maintain the platform for high availability and performance.
  • Develop and optimise financial models, curves and risk analytics.
  • Monitor performance, investigate issues and implement improvements.
  • Provide training and support to end users.

Skills

Orchestrade
Python
SQL
Financial instruments
Risk analytics
Market data
Analytical troubleshooting
Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Finance, Engineering or related discipline

Tools

C#
.NET

Job description

Referment is partnering with a global investment firm to build a new post-trade platform. You will be an Orchestrade specialist combining hands-on platform expertise with a strong understanding of financial products, risk and market data.

You will join an operations software engineering team and work closely with developers, finance teams and platform users. The remit spans integration, deployment and administration as well as the implementation of financial models and analytics, making this a

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