Location: Europe

A high-performing, research-led, collaborative, equities stat arb team in London is hiring a Quant Researcher to drive alpha and signal generation. This is a rare chance to join a lean pod where researchers have real ownership, strong engineering support around them, and a clear mandate across cash equities.

Scope:

• Research, design, and validate alpha signals for cash equities stat arb strategies
• Build robust feature sets from market, fundamental, and alternative datasets
• Run disciplined backtesting and statistical validation to avoid overfitting
• Translate research into production-ready signals in collaboration with engineering
• Monitor live performance and iterate on signals as market regimes shift
• Contribute to idea generation and the team’s evolving research framework

Ideal profile:

• 2 to 5 years of experience in systematic equity research.
• Strong statistical intuition and a rigorous research process (hypothesis, testing, validation)
• Solid programming skills (Python required; familiarity with research-to-production workflows is a plus)
• Experience working with equities data and market microstructure awareness preferred
• Candidates from prop trading environments are interesting, but top long-only / fundamental researchers with a systematic mindset are also of interest.
• Comfort working in a small, high-accountability team where your work has visible impact

Nice to have

• Single-stock research exposure with a clear, testable signal mindset
• Experience with factor research, statistical arbitrage, or systematic equities strategies
• Familiarity with portfolio construction concepts and risk-aware signal development
• CQF qualification.

Logistics

• London-based role, on-site
• No remote / overseas-based working
• Visa sponsorship available
• Hiring timeline: next 1 to 2 months

If you’re a mid-level researcher who wants genuine signal ownership and a direct line between your work and PnL, this is the kind of seat that doesn’t come up often.

A hedge fund client of ours is hiring a senior Commodities Portfolio Manager to lead the Commodities sleeve and run risk independently with full PnL accountability. This is a true risk taking seat. The mandate is focused on cross-commodity relationship trading expressed in paper markets. Candidates must be fully comfortable running a book primarily via listed and cleared instruments.

The PnL engine should come from pricing relationships across commodities and closely linked markets, with disciplined control of outright and curve exposure. The platform is not hiring a single commodity specialist running a vertical book, and it is not hiring a directional macro commodities PM.

Strategies should be implemented through futures, swaps, and options (and related cleared structures), with a focus on cross-market dislocations that do not rely on persistent outright beta. Directional risk is permitted but capped: up to 30% of the book’s risk budget may be allocated to outright or curve driven views. The remaining risk is expected to be deployed in cross commodity relationship structures

Responsibilities

• Own commodities PnL end to end: idea generation, trade construction, sizing, hedging, and day to day risk management.
• Build and run a diversified cross-commodity book with strict limits on outright exposure and curve sensitivity.
• Develop repeatable processes for signal formation, scenario analysis, and performance monitoring through different regimes.
• Apply disciplined risk management: exposure transparency, stress testing, and drawdown control.
• Partner with execution to optimise implementation costs, slippage, and risk transfer in liquid paper markets.
• Set the standards for portfolio construction and risk discipline within the Commodities sleeve.

Not a fit

• Candidates whose background is primarily physical commodities trading, logistics, or supply chain.
• Single vertical specialists where most risk and PnL sits in one complex (metals only, crude only, gas only).
• Directional macro, trend, or carry led commodities books.
• Approaches where returns are primarily explained by outright moves or sustained curve positioning.

Requirements

• Proven track record running a commodities book in paper markets, with cross-commodity relationships as a primary driver of returns.
• Strong understanding of how commodities are priced across markets and how relationships behave under stress.
• Ability to operate as an independent risk taker with full accountability for outcomes.
• Strong implementation and execution awareness in liquid derivatives.
• CQF if quant.

A leading UK insurer is recruiting a Quant Strategist to join its ALM Securities & Derivatives function, sitting at the core of the firm’s investment and balance-sheet management capability.

We’re looking for a quantitatively strong investment professional with experience in asset-liability management, derivatives and balance-sheet modelling, who is motivated by complex insurance investment problems and the challenge of translating sophisticated models into practical decision-making tools.

Do you enjoy building and enhancing ALM models, analysing Solvency II balance-sheet impacts, and partnering closely with investment teams to support better hedging and portfolio decisions?

Are you looking for a role that combines deep technical modelling, platform development and close collaboration with front-office investors, within a purpose-driven insurance environment?

If so, this could be a strong fit.

The Organisation

Our client provides secure retirement incomes through disciplined risk management and excellence in asset and liability management. Its purpose is to pay the pensions of current and future policyholders, supported by a culture built around resilience, adaptability and long-term commitment.

The ALM Securities & Derivatives function sits at the heart of the business, optimising the interaction between assets and liabilities in line with the firm’s risk appetite. The Quant Strategist team works closely with Investment, Actuarial, Risk and Technology teams to develop the analytical frameworks, hedging tools and portfolio optimisation capabilities that underpin investment decisions.

In this role, you will:

• Maintain and enhance the ALM quantitative platform, ensuring models, libraries and analytics remain accurate, robust and well-documented.
• Design and deliver new modelling features and analytical capabilities aligned to investment initiatives, regulatory requirements and business needs.
• Develop model components for handover into production, working closely with Technology to ensure clean code, clear specifications and appropriate testing.
• Support BAU ALM analytics, including running models, troubleshooting issues and explaining results to internal stakeholders.
• Analyse and approximate Solvency II balance-sheet impacts under different market and portfolio scenarios.
• Collaborate with Investment, ALM, Actuarial and Risk teams to refine assumptions, validate outputs and ensure consistency across frameworks.
• Contribute to the continuous improvement of model governance, coding standards, documentation and version control.
• Undertake research to enhance modelling methodologies, improving efficiency and analytical insight.
• Develop deep technical expertise in key ALM modules, progressing towards subject-matter expertise over time.

Who we’re looking for:

• Strong academic background in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering).
• Experience contributing to ALM, investment, actuarial or risk models, including development, calibration or platform enhancement.
• Solid understanding of:
• Asset-liability management and LDI principles
• Scenario generation, term-structure modelling and cash-flow projection techniques
• Model governance and validation within a regulated environment
• Programming experience in Python, MATLAB or similar, with the ability to write clear, maintainable and well-tested code.
• Experience working with SQL or large financial datasets for data validation and analytical integration.
• Comfortable explaining technical results to non-technical stakeholders and translating analytics into practical investment insight.
• Professional qualifications (CFA, FIA, CQF, PhD) are advantageous but not essential.

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services.

We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Accenture Song.

As a Risk professional in the CFO&EV team in Strategy&Consulting/Intelligent Consulting Hub Europe, you’ll work on delivery of projects for our clients – key industry players in the Risk Management sectors around the world. You’ll help our clients keep up with fast changing regulations, innovations as well as changing market conditions. You will be part of a team that brings to our clients industry-leading best practices, technologies and strategies in everything from credit, market, liquidity, enterprise or operational risk and financial crime perspective – to regulatory compliance, robotics, artificial intelligence – and advanced quantitative modelling.

You will be part of multidisciplinary team of risk professionals demonstrating broad palette of skills in various areas.

For more information about CFO&EV teams please visit our website: CFO&EV

THE WORK:

Although no two days at Accenture are the same, as a Risk Executive in our CFO&EV practice, a typical day might include:

• Acting as a Credit Risk management professional while working with Accenture’s global teams to help clients develop cutting edge and industry leading solutions
• Shaping Accenture’s thought capital around current and emerging Credit Risk management topics
• Using your analytical & quantitative skills to provide clarity to complex issues and gather data as well as model driven insights
• Helping clients use technological risk innovations (Big Data & Cloud Solutions, Robotics, Artificial Intelligence, Machine Learning) to enhance and transform the risk management function
• Working across a dynamic, international team where English is the common language

Flexible: We are delivering our work mostly remotely but knowing that Intelligent Consulting Hub Europe (ICH) way of working is also based on traveling and serving advisory, typically working closely with our Clients in their offices, willingness and ability to work at client’s locations mostly across Europe, but also other locations, for short or long term is still required.

With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

HERE’S WHAT YOU’LL NEED:

Minimum 10 years of Credit Risk management experience. Candidates should demonstrate knowledge in one or more of the following aspects:

• People leadership and project management skills
• Quantification skills in the Credit Risk domain
• An understanding of market environment as well as risk regulatory frameworks: knowledge of Basel III and IV principles and practices, ICAAP, CECL, CRD V/VI, IFRS 9, etc.
• Experience in PD, LGD, EAD models and rating schemes
• Experience across risk platforms and technologies/products, for example Bloomberg, Reuters, Murex, Moody’s, OFSAA, etc.
• Operational procedures and processes covering also data management in the Credit Risk area
• Proficient level in English (written & spoken)

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don’t meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

BONUS POINTS IF YOU ARE AND HAVE:

• Digitally savvy and conscious of new technologies; continuous learner; knowledge of programming languages (R, SAS, VBA, SQL, PYTHON)
• Industry certifications such as FRM, PRM, CQF, CFA.

You will be responsible for leading Global Structured Rates IPV (Independent Price Verification) Team.

You will be working with the Desk, Quants, Market Risk, Valuations Methodology and Senior Management to facilitate expanding business by maintaining strong second line control and governance within the CFO Group.

You will be heavily involved in maintaining IPV Valuations Models and driving automation within your area.

This position is full time and will require 4 days in the office.

What will you do?

• Lead the control function to perform IPV (Independent Price Verification) and other Valuation Adjustments across a wide range of mainly derivative positions for the Global Structured Rates businesses within RBC Capital Markets.
• Play a key role in the production and implementation of methodology for Valuation Adjustments relating to the Structured Rates business.
• Play a key role in the provision of detailed reports and analysis on IPV/VA results to senior managers, business heads, Valuations and Risk committees, and Heads of Valuations, Market Risk and Finance.
• Manage a team of 2/3 strong inviduals
• Ensure that existing VA/IPV processes continue to be aligned and keep pace with the business, and Regulator and Accounting Best Practice.
• Ensure that all VA/IPV processes are complete and follow RBCs risk policies and procedures. Identify and escalate appropriate improvements.
• This role is also required to provide significant subject matter expertise on various valuations related projects and initiatives, as required, including ad hoc management and/or regulatory reviews and new business initiatives
• Review IPV and Reserve calculations and reports produced by the team.
• Maintain effective working relations with the regional Heads of businesses.
• Ensure process documentation is up to date and adhered to.
• Ensure other related valuations responsibilities relevant to IR structured products are carried out. For example, Levelling, Prudential Valuations (AVA) calculations, input into MIS reporting, and large Day 1 P&L investigations.
• Lead on on-going enhancements and development of the control environment; applying an awareness of accounting and regulatory constraints.
• Provide pro-active input into valuation related projects, regulatory reviews and new business initiatives.
• Ensuring the team follows EUC (End User Computing, e.g., Cluster Seven) practices.

What do you need to succeed?

Must-have

• Strong Technical understanding of derivatives and their valuation, including vanilla and exotic interest rate derivatives. Relevant experience in a Product Control role focusing on Structured Products is an advantage. Management experience, or well established in a senior role within a team.
• Experience of IPV and reserve calculations A good understanding of the following financial products and their valuations: vanilla derivative products (including futures, interest rate swaps, FRAs, basis swaps, cross currency swaps and structured products).
• A developed understanding of P&L calculations for businesses that trade these products; A developed understanding of the purpose of control processes such as IPV and Valuation Adjustments (reserves).
• Experience of creating or overseeing professional reports, including written commentary, to fixed deadlines and for business or senior management consumption.
• Ability to communicate and liaise confidently and effectively with junior and senior members of all areas including the business (Front Office), and external vendors, using written and oral methods.
• Ability to work to tight deadlines in a pressured environment.
• Ability to work well in a small team and in conjunction with other staff members of all levels from various functional areas.
• Ability to communicate and liaise confidently and effectively with junior and senior members of all areas including Front Office, using written and oral methods.
• Ability to manage a small team and in conjunction with other staff members of all levels from various functional areas.
• Strong background in mathematics and/or IT.
• Solid understanding of pricing methodologies.
• Ability to produce clear, concise, and well written documents.
• Practical IT experience (e.g., Excel and/or VBA, Python).
• Familiarity with market data platforms and analytical tools including Bloomberg, Reuters, and Markit/Totem.
• Educated to degree level or similar/equivalent in a numerical subject. ACA/CFA/CQF will be an advantage.

This role is an exciting and challenging position with excellent development opportunities across T&S and the wider Shell group. We require a creative individual with excellent analytical and interpersonal skills, working under tight deadlines and pressures requiring dynamic expectation management of stakeholders. The candidate will be needed to continue delivering to an excellent standard, with clear focus on the bottom line and priorities in hand. The successful candidate will show the will and the ability to contribute to this objective and to constantly improve personal and team performance.

The main responsibility of the role is to collaborate with the power business and support the growth of the power portfolio in Europe, while being accountable for the methodology of the valuation and risk assessment of complex transactions.

The role specifically involves the following:

• Commercial structuring as well as Financial & Quantitative modelling of complex power transactions
• Represent the Deal Structuring team and build strong relationships working with the local stakeholders in the power business and internal functional departments (Risk, Finance, Credit)
• Collaborate with power originators and traders to create innovative structured products in response to demand and changing market conditions
• Provide specialized knowledge on structure, valuation and risk assessment for opportunities in the European power market
• Provide an independent view on structured transactions, with constructive challenge of the deal owner as required and suggest alternative solutions or improvements
• Develop and own valuation methods and models in python and excel, for pricing and risk assessment of complex structured contracts.
• As part of the deal team proactively engage with commercial project leaders to (re-)structure non-standard transactions during negotiation phase, be creative to suggest alternative solutions and adaption of contract structures
• Collaborate with deal owners to manage and extract value from acquired structured positions
• Maintain an outward mindset and ongoing commitment of Deal Structuring to the One-team approach undefined

What You Bring

We are keen to hear from individuals who are quick learners with demonstrable experience of leading individually as well as small teams towards finding solutions to complex business problems, with proven exposure to the Italian market and the ability to grow within a dynamic environment of power trading.

With deal structuring & quantitative analysis at the heart of this role, the candidates would ideally need prior relevant experience in structuring/quantitative analytics and/or qualification in numerical subject (MSc, CFA, CQF, ACA or similar), with proven track record of working in Power/Gas/LNG markets (Preferably one or more European power markets).

Beyond the key requirements mentioned above, strong knowledge or experience in the areas listed below is needed to succeed and thrive in this role:

Required

• Programming in python and Excel VBA
• Developing and maintaining high quality excel financial models for business end use
• Theory and Practice of quantitative finance, models and application to gas and power derivatives
• Experience of structured asset and deal valuations, including risk management strategies.
• Fluency in the English language, with Italian/German speaker advantageous

Advantageous

• Knowledge of corporate finance and accounting principles
• Commercial acumen and strong grasp of principles of long-term commodity investments & risk drivers
• Coaching/mentoring junior team members
• A Certificate in Quantitative Finance (CQF) is considered preferable

Be a part of our team where you will:

• Be part of a dynamic and entrepreneurial workplace environment, where you are valued for the unique contribution and perspectives you bring;

• Benefit from our ‘Valuation Learning Pathway’, a unique and distinctive program that will allow you to grow as a valuation professional;

• Benefit from a large choice of internal and external trainings;

• Diversify the opportunities to build practical knowledge by working on a wide spectrum of asset valuation or otherwise related topics;

• Diversify your client experience by working directly with top private and public clients of all sizes in Alternatives;

• Participate in our Corporate Social Responsibility activities;

• Take advantage of our comprehensive benefits, which help you find flexibility with your work.

Let’s talk about you. If you have …

• +10 years of experience in the valuation of derivatives, structured products and illiquid financial instruments, ideally gained within a Big 4, an asset management environment or a financial institution.
• Master’s degree in finance, financial engineering, mathematics applied to finance, or from a leading business school.
• Demonstrated leadership and team management experience, with a proven ability to coach and inspire professionals.
• Strong project management and multitasking skills, able to handle multiple high-profile engagements under tight deadlines.
• Strong expertise a wide range – from simple to complex derivatives & structured products – alongside corresponding valuation methodologies.
• Knowledge of IFRS standards related to valuation (IFRS 9, IFRS 13, IFRS 7).
• Strong soft skills: analytical mindset, rigor, problem-solving ability, client orientated, and resilience under pressure.
• Proficiency in financial tools such as Bloomberg, Refinitiv, Super Derivatives, with advanced knowledge of Excel/VBA.
• Excellent communication and interpersonal skills in English (written and spoken).
• Professional qualifications (CQF, CFA, FRM, CAIA, etc.) are considered an asset but not required.