1 to 25 of 26 PnL Attribution Jobs in London

Align product development with commercial trading strategies and regulatory requirements Risk & Analytics Own the product roadmap for market, credit and operational risk tools, including real time dashboards, P&L attribution and scenario analysis capabilities Collaborate with risk management teams to understand regulatory obligations, control frameworks, and internal reporting needs. Ensure the platform supports risk monitoring across physical … inventories, derivative exposures, FX, and counterparty credit. Finance Define and maintain the product roadmap for finance-related systems including: o P&L attribution and daily flash reporting o Invoice generation and trade settlement automation o Intercompany accounting and reconciliation o Financial data integrations (ERP, trading systems, risk) o Month-end close process support Work closely with finance More ❯

Key Responsibilities Support senior traders in the evaluation and execution of discretionary trading strategies, with a focus on volatility and options-based approaches Monitor and analyze portfolio risk and PnL Contribute to daily portfolio management, hedging, and trade execution Produce and maintain PnL attribution, risk reports, and performance summaries Collaborate with quantitative researchers to improve trading More ❯

Key Responsibilities Support senior traders in the evaluation and execution of discretionary trading strategies, with a focus on volatility and options-based approaches Monitor and analyze portfolio risk and PnL Contribute to daily portfolio management, hedging, and trade execution Produce and maintain PnL attribution, risk reports, and performance summaries Collaborate with quantitative researchers to improve trading More ❯

Key Responsibilities Support senior traders in the evaluation and execution of discretionary trading strategies, with a focus on volatility and options-based approaches Monitor and analyze portfolio risk and PnL Contribute to daily portfolio management, hedging, and trade execution Produce and maintain PnL attribution, risk reports, and performance summaries Collaborate with quantitative researchers to improve trading More ❯

as across the Finance organisation. Job Responsibilities Supervise production, reporting and FO approval of the daily T+1 P&L and Market Risk Substantiation and reporting of P&L Attribution under a risk and full revaluation basis. i.e. Delta, Gamma, Vega Provide detailed analysis and commentary on the financials to desk heads, business managers, and senior finance More ❯

derivatives flow Align product development with commercial trading strategies and regulatory requirements Own the product roadmap for market, credit and operational risk tools, including real time dashboards, P&L attribution and scenario analysis capabilities Collaborate with risk management teams to understand regulatory obligations, control frameworks, and internal reporting needs. Ensure the platform supports risk monitoring across physical … inventories, derivative exposures, FX, and counterparty credit. Finance Define and maintain the product roadmap for finance-related systems including: o P&L attribution and daily flash reporting o Invoice generation and trade settlement automation o Intercompany accounting and reconciliation o Financial data integrations (ERP, trading systems, risk) o Month-end close process support Work closely with finance More ❯

Valuation: Oversee the day-to-day control and valuation of physical natural gas positions, ensuring timely and accurate reporting of P&L and balance sheet movements. P&L Attribution & Analysis: Perform daily analysis of natural gas P&L, attributing and explaining key drivers of variances, including market prices, volumes, and hedging activities. Risk Management Support More ❯

coding standards, release procedures, architecture and quality standards. Design, develop, and maintain tools for market, credit, and operational risk management, ensuring robust functionality for: Real-time dashboards P&L attribution Scenario analysis capabilities Implement and optimize system functionalities to support regulatory obligations, control frameworks, and internal reporting needs. Develop scalable solutions for risk monitoring across physical inventories More ❯

and scripting skills in Python and SQL. Experience in Django and JavaScript frameworks is strongly preferred. Deep understanding of financial instruments, trading strategies, and risk measures (VaR, P&L attribution, stress testing, etc.). Hands-on experience with risk systems, data pipelines, and analytics platforms. Proven ability to translate complex data into meaningful risk insights and visualizations. More ❯

capital market solutions with precision and innovation. Your responsibilities will include: • Supporting the end-to-end execution and monitoring of ILS and LHSS transactions • Managing trade capture, P&L attribution, payment scheduling, AML/KYC onboarding, and compliance checks • Maintaining operational procedures and documentation, ensuring clear and consistent execution standards • Managing a structured transaction database to support More ❯

tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.). Apply statistical and Machine Learning methods to solve complex problems. Build risk models and P&L attribution for both systematic and fundamental portfolios. Maintain and improve existing codebase, ensuring robustness and efficiency. Work with central team of Quant engineers to enhance back testing and More ❯

Requirements: 5+ years of experience in a risk analytics or similar role within a financial institution Deep understanding of financial instruments, trading strategies, and risk measures (VaR, P&L attribution, stress testing, etc.) Hands-on experience with risk systems, data pipelines, and analytics platforms Proven ability to translate complex data into meaningful risk insights and visualizations Excellent More ❯

and toxic order flow across FX, indices, crypto, commodities, and shares. React swiftly to market volatility, slippage, and execution anomalies. Exposure Management & Trade Analytics: Manage exposure and P&L attribution across all asset classes. Conduct deep-dive trade reviews, stress testing, and scenario analysis to guide risk-adjusted decision-making. Margining, Limits & Escalations: Define and maintain risk More ❯

combine financial knowledge with strong programming skills. You'll design and maintain dashboards for real-time and historical risk monitoring, enhance key risk measures such as VaR, P&L attribution, and stress scenarios, and develop robust data pipelines to support risk modelling and reporting. You'll work closely with cross-functional teams to align analytics with business More ❯

combine financial knowledge with strong programming skills. You’ll design and maintain dashboards for real-time and historical risk monitoring, enhance key risk measures such as VaR, P&L attribution, and stress scenarios, and develop robust data pipelines to support risk modelling and reporting. You’ll work closely with cross-functional teams to align analytics with business More ❯

knowledge of Openlink Endur , including TPM, AVS, and Open Components. Strong understanding of front-to-back trade lifecycle in physical and financial commodities. Familiarity with trade booking, risk valuation, PnL attribution, and reporting functions. Excellent stakeholder engagement and communication skills. Experience working in Agile/Scrum methodologies. Desirable: Exposure to power and gas trading markets (European or More ❯

directly. Key Responsibilities Support the trading desk with present value (PV) risk and model usage. Modify and maintain models used for official risk and PV . Investigate and resolve PnL attribution issues. Contribute to bootstrapping and pricing library development. Collaborate closely with traders, risk, and investment teams. Required Skills & Experience 5+ years in a Front Office Quant … years welcomed). Strong experience in Rates (Flow, Structured, Exotic). Proficient in C# ; C++ is a plus. Experience with productionised pricing libraries . Solid understanding of risk and PnL attribution . Candidate Profile Mid to senior-level quant with a proactive, adaptable mindset. Strong communicator with a collaborative approach. Able to work independently and deliver quickly More ❯

strategy investment firm. This role sits within a centralized Quant Strat team supporting Equity Volatility trading, with a focus on building scalable tools and models for pricing, risk, and PnL attribution. What you’ll be doing You’ll work closely with traders and PMs to support the desk’s equity vol strategies, taking ownership of modelling and infrastructure across … Volatility surface construction and calibration Pricing and risk analytics for vanilla and exotic equity derivatives Dividends and funding model development Daily PnL explanation and attribution Centralised Python libraries for valuation and risk What they're looking for: Strong Python development skills in a production environment Experience supporting volatility trading or delta one desks Solid understanding of equity … derivatives and risk representation Exposure to dividends, funding, and PnL modelling Ability to collaborate effectively with traders, PMs, and fellow quants More ❯

strategy investment firm. This role sits within a centralized Quant Strat team supporting Equity Volatility trading, with a focus on building scalable tools and models for pricing, risk, and PnL attribution. What you’ll be doing You’ll work closely with traders and PMs to support the desk’s equity vol strategies, taking ownership of modelling and infrastructure across … Volatility surface construction and calibration Pricing and risk analytics for vanilla and exotic equity derivatives Dividends and funding model development Daily PnL explanation and attribution Centralised Python libraries for valuation and risk What they're looking for: Strong Python development skills in a production environment Experience supporting volatility trading or delta one desks Solid understanding of equity … derivatives and risk representation Exposure to dividends, funding, and PnL modelling Ability to collaborate effectively with traders, PMs, and fellow quants More ❯

a Volatility Strategist, you will: Lead parameterisation of volatility surfaces and risk representation for vanilla and exotic products Design and maintain models for pricing, dividends, funding and risk attribution Own and maintain core infrastructure used in the day-to-day management of vol books Work cross-functionally to support the automation … and scalability of valuation and risk libraries Key Requirements Strong Python skills in a production environment Direct experience with volatility trading strategies Exposure to modelling dividends, vol surfaces, and PnL attribution Prior collaboration with traders, portfolio managers, and quant risk teams Excellent communication skills and strong ownership mindset This opportunity offers a competitive compensation package and hybrid More ❯

a Volatility Strategist, you will: Lead parameterisation of volatility surfaces and risk representation for vanilla and exotic products Design and maintain models for pricing, dividends, funding and risk attribution Own and maintain core infrastructure used in the day-to-day management of vol books Work cross-functionally to support the automation … and scalability of valuation and risk libraries Key Requirements Strong Python skills in a production environment Direct experience with volatility trading strategies Exposure to modelling dividends, vol surfaces, and PnL attribution Prior collaboration with traders, portfolio managers, and quant risk teams Excellent communication skills and strong ownership mindset This opportunity offers a competitive compensation package and hybrid More ❯

strategy investment firm. This role sits within a centralized Quant Strat team supporting Equity Volatility trading, with a focus on building scalable tools and models for pricing, risk, and PnL attribution. What you’ll be doing You’ll work closely with traders and PMs to support the desk’s equity vol strategies, taking ownership of modelling and infrastructure across … Volatility surface construction and calibration Pricing and risk analytics for vanilla and exotic equity derivatives Dividends and funding model development Daily PnL explanation and attribution Centralised Python libraries for valuation and risk What they're looking for: Strong Python development skills in a production environment Experience supporting volatility trading or delta one desks Solid understanding of equity … derivatives and risk representation Exposure to dividends, funding, and PnL modelling Ability to collaborate effectively with traders, PMs, and fellow quants Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information. Bank or payment details should not be provided when applying More ❯

a Volatility Strategist, you will: Lead parameterisation of volatility surfaces and risk representation for vanilla and exotic products Design and maintain models for pricing, dividends, funding and risk attribution Own and maintain core infrastructure used in the day-to-day management of vol books Work cross-functionally to support the automation … and scalability of valuation and risk libraries Key Requirements Strong Python skills in a production environment Direct experience with volatility trading strategies Exposure to modelling dividends, vol surfaces, and PnL attribution Prior collaboration with traders, portfolio managers, and quant risk teams Excellent communication skills and strong ownership mindset This opportunity offers a competitive compensation package and hybrid More ❯

Monetisation Quant you will: Pipe every alpha stream through a clean, latency‐aware weighting engine. Build an optimiser for intraday books, factoring capacity, impact and microstructure quirks. Own live PnL attribution and feedback to researchers & traders. Hire and mentor the team that will scale this from “clever prototype” to “firm‐wide PnL driver”. Green‐field. … t it (but we should still chat... see above contact address). If you want to build the engine for alpha combination to make serious impact on already serious PnL, let’s talk. More ❯

Monetisation Quant you will: Pipe every alpha stream through a clean, latency‐aware weighting engine. Build an optimiser for intraday books, factoring capacity, impact and microstructure quirks. Own live PnL attribution and feedback to researchers & traders. Hire and mentor the team that will scale this from “clever prototype” to “firm‐wide PnL driver”. Green‐field. … t it (but we should still chat... see above contact address). If you want to build the engine for alpha combination to make serious impact on already serious PnL, let’s talk. More ❯