Senior Quantitative Developer
LanceSoft, Inc., City of Westminster
Senior Quantitative Developer
Salary not available. View on company website.
LanceSoft, Inc., City of Westminster
- Full time
- Temporary
- Onsite working
Posted 1 day ago, 12 May | Get your application in today.
Closing date: Closing date not specified
Job ref: f77538f882fd4a67a88a731f43b801fb
Location ref: City of Westminster
Full Job Description
Senior Quantitative Developer
Job Title: Quantitative Developer
Location: London, UK (Hybrid)
Duration: 12 months + Extendable contract
Job Description
- Looking for a highly senior hands-on Quantitative Engineer/Quant Developer with strong experience in Exotic OTC Derivatives pricing and risk modelling. This is a pure hands-on individual contributor role and not suitable for managerial, architecture-only, or research-focused candidates.
- Should have around 15-20+ years of experience in quantitative development with strong exposure to production-grade pricing libraries, risk engines, calibration frameworks, and exotic payoff models across asset classes such as Equity, Rates, FX, and Commodities.
- Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation.
- Python is the preferred primary programming language, while strong Java experience is also highly preferred because the team works primarily in a Java-based environment.
- C++ background can also be considered if there is strong quantitative engineering experience.
- Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. This role requires both numerical accuracy and production efficiency.
- The candidate should have deep understanding of exotic derivatives, OTC market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints.
- Candidates with a Master's or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD.
Location
London, UK
Details
- Industry: IT
- Rate: GBP
- Employment: Lancesoft Ltd
- Contact: LANCESOFT LTD
- Reference: JS3107270937
- Posted Date: 5/11/2026 6:54:27 AM
#s1-Gen
- Looking for a highly senior hands-on Quantitative Engineer/Quant Developer with strong experience in Exotic OTC Derivatives pricing and risk modelling. This is a pure hands-on individual contributor role and not suitable for managerial, architecture-only, or research-focused candidates.
- Should have around 15-20+ years of experience in quantitative development with strong exposure to production-grade pricing libraries, risk engines, calibration frameworks, and exotic payoff models across asset classes such as Equity, Rates, FX, and Commodities.
- Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation.
- Python is the preferred primary programming language, while strong Java experience is also highly preferred because the team works primarily in a Java-based environment.
- Candidates with C++ background can also be considered if they have strong quantitative engineering experience.
- Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. This role requires both numerical accuracy and production efficiency.
- The candidate should have deep understanding of exotic derivatives, OTC market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints.
- Candidates with a Master's or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD.
Direct job link
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