Lancesoft Ltd
Job Title: Distinguished Quantitative Engineer - Exotic Derivatives Location: London, UK (Hybrid) Duration: 12 Months+ Extendable contract 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. Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling and high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency. Candidates from organizations or platforms such as Murex, Calypso, Numerix, or similar derivatives pricing environments will be highly preferred because of their exposure to institutional pricing libraries and OTC market conventions. 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. Strong experience with Monte Carlo methods, PDE approaches, tree/lattice models, and advanced numerical techniques is expected. The current team consists of quant developers in the US, a product-side quant resource, a London-based contractor, and a broader engineering team handling architecture and platform development. This hire will mainly focus on strengthening the quantitative modelling and pricing validation capability. The interview process is expected to have three stages, including an initial screening, discussion with the Product Lead, and technical discussions with other quantitative team members. There is currently no confirmed coding assessment, but interviews will strongly focus on depth of quantitative knowledge, production ownership, and ability to explain personally built models in detail. The hiring manager clearly mentioned that they prefer Quant Developers or Quant Engineers over pure Quant Researchers. Academic-only profiles or candidates without strong production ownership will not be suitable for this role. 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. Preferring candidates to work onsite at least two days per week, ideally on Tuesdays and Thursdays for collaboration purposes.
Job Title: Distinguished Quantitative Engineer - Exotic Derivatives Location: London, UK (Hybrid) Duration: 12 Months+ Extendable contract 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. Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling and high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency. Candidates from organizations or platforms such as Murex, Calypso, Numerix, or similar derivatives pricing environments will be highly preferred because of their exposure to institutional pricing libraries and OTC market conventions. 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. Strong experience with Monte Carlo methods, PDE approaches, tree/lattice models, and advanced numerical techniques is expected. The current team consists of quant developers in the US, a product-side quant resource, a London-based contractor, and a broader engineering team handling architecture and platform development. This hire will mainly focus on strengthening the quantitative modelling and pricing validation capability. The interview process is expected to have three stages, including an initial screening, discussion with the Product Lead, and technical discussions with other quantitative team members. There is currently no confirmed coding assessment, but interviews will strongly focus on depth of quantitative knowledge, production ownership, and ability to explain personally built models in detail. The hiring manager clearly mentioned that they prefer Quant Developers or Quant Engineers over pure Quant Researchers. Academic-only profiles or candidates without strong production ownership will not be suitable for this role. 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. Preferring candidates to work onsite at least two days per week, ideally on Tuesdays and Thursdays for collaboration purposes.
