Quantitative Developer

hackajob; Greater London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Deepstreamtech in Greater London is looking for a Quantitative Developer to design and validate models for market surveillance and analytics. The ideal candidate will have proficiency in C#, C++, or Python, along with exceptional mathematical and analytical skills. Responsibilities include developing sophisticated algorithms and collaborating within a metrics team. This role provides an exciting opportunity for someone keen to work in a fast-paced environment.

Qualifications

• Proficiency with C#, C++ or Python.
• Evidence of exceptional mathematical and analytical skills.
• Experience as a quant in financial services.

Responsibilities

• Design, build, and validate models for market surveillance products.
• Collaborate to create market abuse metrics and detection algorithms.
• Engineer high-quality software with mathematical skills.

Skills

C#

C++

Python

Mathematical skills

Analytical skills

Knowledge of risk sensitivities

Understanding of derivatives

Job description

Requirements

• Proficiency with C#, C++ or Python
• Evidence of exceptional mathematical and analytical skills
• Initial industry experience working as a quant within a financial services organisation
• Some knowledge of risk sensitivities or "Greeks" such as Delta, Gamma, DV01 etc
• Understanding of derivatives (e.g. swaps, options, futures)
• Confidence to experiment with new ideas and technologies
• Keen to work in a fast-paced environment
• Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria
• We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch!

What the job involves

• We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products
• As part of our metrics division, you'll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms
• The successful candidate will combine excellent mathematical skills with the proven ability to engineer high‑quality software in a practical setting
• Development of sophisticated pattern‑detection algorithms to be utilized across all of TradingHub’s product offerings
• Research and development of broad models of market dynamics across multiple asset classes
• Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models
• Use of in-house big data language for the large-scale pricing and analysis of security and risk data
• Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data