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Salary
$76k – $138k per year (Estimated)
Location
Remote/Hybrid (London, United Kingdom)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Talan is an international technology and management consulting group headquartered in Paris, France. The firm specializes in guiding large enterprises and public institutions through digital transformation, leveraging cloud technology, artificial intelligence, data intelligence, blockchain, and IoT.

About Talan

At Talan, we deliver technology solutions in partnership with leading global clients. We are currently supporting one of our long standing clients in building and enhancing a front office risk and valuation platform used in a fast paced, real time environment.

The Role

We are seeking a hands on Senior Developer to join a high impact technology team responsible for risk, valuation, and decision support systems. You will work across the full stack, collaborating closely with business users and technical peers in a dynamic, agile setting.

Key Responsibilities

  • Design and deliver high quality features across UI, backend services, and data layers
  • Collaborate directly with stakeholders to refine requirements and deliver practical solutions
  • Contribute to system design, code reviews, and continuous improvement
  • Support live systems and participate in an on-call rota
  • Work in a fast paced environment balancing quick deliveries with longer term enhancements

Technology Stack

  • Frontend: TypeScript, React
  • Backend: C# / .NET
  • Database: PostgreSQL
  • Integration with pricing / computational services

Requirements

  • Strong C# backend development experience
  • Solid knowledge of TypeScript and React
  • Experience with relational databases (PostgreSQL preferred)
  • Ability to work in fast-paced, collaborative environments with evolving requirements
  • Strong communication skills and proactive mindset

Desirable

  • Experience with risk/valuation systems or real-time platforms
  • Exposure to financial products (e.g., derivatives)
  • Knowledge of distributed or data-intensive systems

Working Model

  • Hybrid: 3 days per week in the London office
  • Collaboration with global teams
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