Marex

Company Name: Marex
Job Title: Graduate Trainee, Change Portfolio Analyst
Job Description: **Job Title:** Graduate Trainee – Change Portfolio Analyst **Role Summary:** Support the Change Portfolio Management team in delivering and governing change initiatives across the organization. Work closely with the Global Head of Change Portfolio Management, PMO, Business Analysis, and Change Approval teams to perform business analysis, maintain documentation, and ensure compliance with change governance standards while gaining exposure to project governance and continuous‑improvement practices. **Expectations:** - Produce clear business requirements and user stories for change projects. - Create and maintain visual process models for current and target states. - Contribute to standardized templates, playbooks, and toolkits. - Assist with compliance monitoring, governance reporting, and portfolio reporting cycles. - Provide administrative coordination for change requests and documentation. - Identify efficiency opportunities and support continuous‑improvement initiatives. - Collaborate with cross‑functional teams and uphold regulatory and internal policy standards. **Key Responsibilities:** 1. Document and validate business requirements and user stories. 2. Map and model business processes (flowcharts, process maps) for both existing and future states. 3. Develop and maintain standard templates, playbooks, and toolkits for change initiatives. 4. Support Change Policy compliance, governance activities, and lifecycle reporting. 5. Participate in monthly portfolio reporting – conduct data quality checks and prepare management packs for senior stakeholders. 6. Provide administrative support to the Change Approval team (coordination of change requests, document upkeep). 7. Propose and support operational efficiency and continuous‑improvement ideas. 8. Work with project managers, business analysts, and PMO colleagues to ensure successful project outcomes. **Required Skills:** - Strong analytical and business‑analysis abilities. - Excellent written and verbal communication skills. - Proficiency in Microsoft Office (Word, Excel, PowerPoint) and diagramming tools (Visio, Lucidchart, or similar). - Ability to create clear process documentation and visual models. - Detail‑oriented with solid data‑validation skills. - Team player with collaborative mindset and stakeholder‑management aptitude. - Basic understanding of project governance and change‑management principles. - Ability to work in a regulated environment and adhere to compliance standards. **Required Education & Certifications:** - Bachelor’s degree (any discipline) completed in 2025 or expected in 2026. - No mandatory certifications; however, familiarity with PRINCE2, Agile, or Change Management frameworks (e.g., Prosci) is advantageous.

London, United kingdom

On site

Junior

09-01-2026

Company Name: Marex
Job Title: Trading intern
Job Description: Job title: Trading Intern Role Summary: Assist in research and development of optimal vega‑hedging strategies for worst‑of autocallable derivatives, collaborating with exotic equity traders and quantitative researchers to model volatility risk, transaction costs, and risk metrics using numerical and machine‑learning techniques. Expectations: - Adhere to internal policies and report breaches to Compliance. - Escalate risk events promptly and support risk‑management processes. - Communicate findings clearly in written reports and oral presentations. - Work independently on open‑ended research problems while contributing to team goals. Key Responsibilities: - Conduct comprehensive literature review on volatility hedging for path‑dependent multi‑asset products. - Develop a framework for dynamic vega hedging that incorporates transaction costs, liquidity constraints, and risk preferences. - Implement and backtest strategies using historical data and Monte Carlo simulation. - Explore reinforcement‑learning approaches for dynamic hedging decisions. - Produce research reports suitable for internal use and potential academic publication. - Ensure compliance with company policies and maintain accurate documentation. Required Skills: - Strong analytical and problem‑solving abilities. - Proficient programming in Python (NumPy, Pandas, PyTorch/TensorFlow). - Solid foundation in stochastic calculus, derivative pricing, and volatility modeling (local vol, stochastic vol, SABR). - Familiarity with Monte Carlo methods, numerical optimization, and machine‑learning techniques, ideally reinforcement learning. - Excellent written and oral communication in English; French language a plus. - Ability to work independently and collaboratively in a fast‑paced environment. Required Education & Certifications: - 3rd‑year engineering or Master’s student in quantitative finance, mathematics, statistics, or a related STEM discipline.

Paris, France

On site

Fresher

02-02-2026

Company Name: Marex
Job Title: Structuring internship: Design and implementation of Cross Asset QIS indices
Job Description: Job title: Structuring Internship – Cross‑Asset QIS Indices Design & Implementation Role Summary: 6‑month internship for a final‑year engineering or quantitative finance student focused on designing, analyzing, and implementing quantitative investment strategy (QIS) indices across commodities, digital assets, and cross‑asset volatility within a front‑office structuring team. Expactations: Collaborate with structurers, quants, and traders to translate trading ideas into backtestable, indexable frameworks; perform quantitative analysis, backtesting, and scenario analysis; support payoff engineering for structured notes and OTC derivatives; produce internal memos, presentations, and client‑facing materials; ensure compliance with regulatory and risk frameworks; adhere to operational risk and conduct policies. Key Responsibilities: • Design and document QIS indices and systematic strategies. • Translate trading concepts into robust, indexable structures. • Conduct quantitative analysis, backtesting, and scenario evaluations. • Analyse volatility, correlation, and cross‑asset dynamics relevant to structured products. • Contribute to payoff engineering for structured notes and OTC derivatives. • Prepare internal memos, presentations, and client‑facing documentation. • Coordinate with trading desks to assess hedgeability, modelling, and risk. • Draft and monitor index rules and lifecycle processes. • Ensure compliance with FCA and other regulatory requirements. • Adhere to operational risk frameworks and report breaches or risk events. Required Skills: • Advanced mathematics: probability, statistics, stochastic processes. • Programming proficiency (Python, R, MATLAB, or similar). • Data analysis, backtesting, and scenario simulation experience. • Knowledge of structured products, derivatives, and indexing. • Strong written and verbal communication in English. • Ability to articulate complex quantitative ideas clearly. • Collaborative mindset in a fast‑paced, multidisciplinary environment. Required Education & Certifications: • Final‑year (or equivalent) student in engineering, applied mathematics, physics, finance, or Master’s in quantitative finance/mathematics. • Strong academic record in mathematics, statistics, and computer science. • No specific certifications required; familiarity with regulatory frameworks (e.g., FCA, PRIIPs) is a plus.

London, United kingdom

On site

02-02-2026

Company Name: Marex
Job Title: Trading internship: A deep dive in Autocallables Vega Hedging
Job Description: Job Title: Trading Internship – Autocallable Vega Hedging Role Summary: Provide research and development support for optimal vega hedging strategies on multi‑asset worst‑of autocallable products. Work with the exotic equity desk and quant team to model, back‑test, and document volatility risk management techniques, including dynamic vega profiles, cross‑asset interactions, and reinforcement‑learning approaches. Expectations: - Perform independent, open‑ended research on volatility hedging for path‑dependent derivatives. - Translate theory into executable Python code, Monte Carlo simulations, and back‑tests. - Deliver a comprehensive research report with potential for academic publication. - Adhere to internal compliance, risk escalation, and policy reporting procedures. Key Responsibilities: - Review literature on volatility hedging for multi‑asset autocallables. - Develop a framework for dynamic vega hedging that incorporates transaction costs, liquidity, and risk metrics (e.g., CVaR). - Implement and back‑test hedging strategies across maturities using historical data and Monte Carlo simulation. - Explore reinforcement learning for dynamic vega allocation decisions. - Analyze cross‑vega, cross‑vanna, and correlation‑vega interactions. - Prepare documentation, presentations, and a final research report for internal stakeholders and possible academic dissemination. - Collaborate with traders, quants, and risk teams to refine models and integrate practical feedback. Required Skills: - Strong analytical and problem‑solving ability. - Proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow). - Solid background in stochastic calculus, derivatives pricing, and volatility modeling (local vol, stochastic vol, SABR). - Experience with Monte Carlo simulation, numerical optimization, and risk metrics (CVaR). - Knowledge of machine learning, particularly reinforcement learning, applied to trading. - Excellent written and oral communication skills. - Ability to work independently and collaboratively in a fast‑paced environment. Required Education & Certifications: - Current third‑year engineering student (Grande École) or master’s student in quantitative finance, applied mathematics, statistics, or related field. - No specific certifications required, but familiarity with financial regulation and compliance is desirable.

Paris, France

On site

Junior

02-02-2026

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