Job Description
ou will bring strong expertise in OTC derivatives, structured notes, and risk management practices—ideally from experience in a trading, structuring, or financial engineering environment at a leading financial institution. Your deep understanding of market standards, valuation models, and regulatory requirements will be critical in shaping innovative risk products and services in collaboration with internal teams and external partners.
Key Responsibilities
Support the Senior Product Manager – Risk in the design and development of solutions addressing client needs around risk, valuation, and product control.
Contribute to the execution of Data & Analytics (D&A) go-to-market strategies, including joint ventures and collaborations with third-party vendors and technology providers.
Collaborate closely with Quantitative and Data Science teams within TP ICAP to create cutting-edge tools and services for valuation, pricing, and risk analytics.
Participate in the full lifecycle of product development, from market research and concept testing through to implementation and client rollout.
Apply market expertise to evaluate and enhance existing D&A product sets and solutions, ensuring they meet evolving market and regulatory standards.
Provide qualitative and quantitative analysis of derivative pricing model outputs, including validation and calibration of bespoke and exotic instruments.
Present risk solutions and analytics clearly to clients and stakeholders across various communication formats—verbal, written, and in presentations.
Act as a subject matter expert across asset classes (FX, Rates, Credit, Commodities, and Equities), bringing insight into valuation techniques, market conventions, and hedging approaches.
Ensure alignment between internal functions including Product, Sales, Technology, and Operations to meet client requirements effectively.
Travel to client sites or other TP ICAP offices as required to support product implementations and training.
Experience / Competencies
Essential
Significant experience in derivatives trading, structuring, product control, or financial engineering at a top-tier bank or financial institution.
Demonstrated cross-asset knowledge, particularly in OTC derivatives and structured products across FX, Rates, Credit, Commodities, and Equities.
In-depth understanding of valuation models and methodologies used for both vanilla and exotic options.
Hands-on experience assessing and calibrating pricing model outputs, including adjustments for market conventions and bespoke features.
Strong understanding of market risk frameworks and the ability to interpret how valuation models tie into risk and capital management.
Excellent communication and presentation skills with the ability to explain complex financial concepts to both technical and non-technical audiences.
Demonstrated ability to work effectively in a fast-paced, cross-functional, and multi-asset environment.
Proficiency with Microsoft Excel and Word.
Master’s degree in a quantitative discipline such as Mathematics, Physics, Engineering, or Financial Engineering.
Desired
PhD in Mathematical Finance, Financial Engineering, or a related quantitative field.
Familiarity with industry-standard pricing tools such as Bloomberg, Reuters, Numerix, or equivalent.
Programming experience in VBA, C++, Python, or MATLAB for financial modelling or prototyping.
Experience with building or validating custom structured note term sheets.
Understanding of risk-related regulatory requirements (e.g. FRTB, XVA, capital optimisation, model risk governance).
Exposure to working within a product-led Agile development framework.
Ability to work across functional teams, including business stakeholders, developers, and data scientists.
Key Responsibilities
Support the Senior Product Manager – Risk in the design and development of solutions addressing client needs around risk, valuation, and product control.
Contribute to the execution of Data & Analytics (D&A) go-to-market strategies, including joint ventures and collaborations with third-party vendors and technology providers.
Collaborate closely with Quantitative and Data Science teams within TP ICAP to create cutting-edge tools and services for valuation, pricing, and risk analytics.
Participate in the full lifecycle of product development, from market research and concept testing through to implementation and client rollout.
Apply market expertise to evaluate and enhance existing D&A product sets and solutions, ensuring they meet evolving market and regulatory standards.
Provide qualitative and quantitative analysis of derivative pricing model outputs, including validation and calibration of bespoke and exotic instruments.
Present risk solutions and analytics clearly to clients and stakeholders across various communication formats—verbal, written, and in presentations.
Act as a subject matter expert across asset classes (FX, Rates, Credit, Commodities, and Equities), bringing insight into valuation techniques, market conventions, and hedging approaches.
Ensure alignment between internal functions including Product, Sales, Technology, and Operations to meet client requirements effectively.
Travel to client sites or other TP ICAP offices as required to support product implementations and training.
Experience / Competencies
Essential
Significant experience in derivatives trading, structuring, product control, or financial engineering at a top-tier bank or financial institution.
Demonstrated cross-asset knowledge, particularly in OTC derivatives and structured products across FX, Rates, Credit, Commodities, and Equities.
In-depth understanding of valuation models and methodologies used for both vanilla and exotic options.
Hands-on experience assessing and calibrating pricing model outputs, including adjustments for market conventions and bespoke features.
Strong understanding of market risk frameworks and the ability to interpret how valuation models tie into risk and capital management.
Excellent communication and presentation skills with the ability to explain complex financial concepts to both technical and non-technical audiences.
Demonstrated ability to work effectively in a fast-paced, cross-functional, and multi-asset environment.
Proficiency with Microsoft Excel and Word.
Master’s degree in a quantitative discipline such as Mathematics, Physics, Engineering, or Financial Engineering.
Desired
PhD in Mathematical Finance, Financial Engineering, or a related quantitative field.
Familiarity with industry-standard pricing tools such as Bloomberg, Reuters, Numerix, or equivalent.
Programming experience in VBA, C++, Python, or MATLAB for financial modelling or prototyping.
Experience with building or validating custom structured note term sheets.
Understanding of risk-related regulatory requirements (e.g. FRTB, XVA, capital optimisation, model risk governance).
Exposure to working within a product-led Agile development framework.
Ability to work across functional teams, including business stakeholders, developers, and data scientists.
💡 Quick Summary
Seeking a career-building opportunity? The Risk Product Engineer, Parameta Solutions position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
