Executive, Complex Securities Valuations, Strategy & Transactions

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

At EY-Parthenon, our unique combination of transformative strategy, transactions, tax and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, boards, private equity and governments every step of the way.

Your key responsibilities

The Complex Securities team provides quantitative financial valuation services to clients. Projects can range from valuation of bespoke financial products and contracts, the construction of models that price or analyse financial risk, to reviewing of client models or valuations in a similar field.

As part of your role, you will:

  • Price complex and often bespoke financial products and derivatives, sometimes building models from scratch.
  • Develop solutions for external and internal clients based on sound quantitative models.
  • Collect and analyse financial market data and time series.
  • Prepare and present reports to support the analysis.
  • Review quantitative models developed by clients or third parties.
  • Work within available budgets and timelines on a variety of projects whilst keeping the assignment manager updated with progress.

Skills and attributes for success

Successful applicants will be highly numerate and analytical. You will understand the fundamentals of financial instrument valuations, be comfortable preparing an independent analysis and be able to explain the rationale behind the chosen approach.

In addition, you will be well-organized in your work, be a team player and possess good communication skills. Specifically, you can explain the essence of complex models and technical concepts to the team and to clients.

What we look for:

  • Practical experience of applying financial engineering techniques, e. g. modelling securities or derivative instruments;
  • Strong technical modelling skills, with knowledge of Excel and VBA and/or other programming tools such as MATLAB, Python or R; and
  • Experience of working in financial services, consultancy or in a relevant role in industry, with demonstrable problem-solving skills.

Ideally, you’ll also have

  • An MSc or PhD in financial mathematics or another numerate subject.  A qualification such as CQF or FRM would be advantageous.
  • Capital markets or financial risk management experience.
  • Knowledge of simulation or other numerical techniques in financial engineering or economics.

What we offer you

We will fuel your ambition and potential with future-focused skills development that equips you with state-of-the-art methodologies and technology-enabled solutions. With more than 25,000 people in 150 countries, you will join an inclusive and empowering culture that values your uniqueness, prioritizes your wellbeing, and immerses you in the diverse thinking and cross-cultural experiences necessary to help deliver impact to clients across the globe and to help build a better working world. Learn more about careers at EY-Parthenon.

Specifically within the role you will be coached via on the job training in areas of valuation where you may previously not have had direct experience.  You will gain a wide range of experience across diverse asset classes and types of valuation approach, as well as gaining wider business skills and interacting with clients and a wide range of internal EY stakeholders.  We have a track record of progression and collaborative working to help build your career path.

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Director (Quantitative Manager) Energy Trading Economic Financial Consulting

The Director role is a key role within the team: they are responsible for project managing parts of engagements, directing project teams, providing key technical inputs into all analyses and drafting deliverables to clients:

What You’ll Do 

  • Directors have a central role on projects, taking day-to-day responsibility for the delivery of sub-workstreams, and the effective use of junior staff. Typically, Directors will develop, with other senior project team members, the approach to projects, or parts of large projects, and are responsible for anticipating, identifying and resolving issues and keeping senior team members informed of progress. 
  • Directors assist in the preparation of formal reports
  • Directors will start to develop and manage a network of professional relationships with clients and others.

In addition, Directors are expected to help develop client proposals and take part in business development activities, for example giving presentations and attending networking events.

How You’ll Grow  

We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.   

As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role. 

What You Will Need to Succeed  

Suitable candidates will be problem-solvers who enjoy developing and applying bespoke approaches to solve complex, unstructured problems in a logical manner. Candidates will have strong (verbal and written) communication skills and excellent analytical skills; be able to draw upon considerable experience of applying principles to solve problems in practice. The ideal candidate will have an eye for both the big picture and the fine detail.

In addition to:

  • The capacity to critically evaluate and compare different sources of information and assumptions to assess reliability;
  • The ability to develop and apply robust methods to address complex economic and/or financial issues;
  • The ability to manage multiple projects simultaneously, meeting deadlines whilst having to rely on inputs provided by others;
  • The ability to communicate effectively and authoritatively, verbally and in writing, both internally and with clients.
  • The ability to report and interact with all levels in an organisation (finance, legal, marketing, operations, IT);

Basic Qualifications

  • Degree in a quantitative discipline; preferred candidates will have a post-graduate qualification and/or relevant professional qualifications (e.g. CFA, CQF, FRM);
  • Several years of relevant work experience in roles such as quantitative modelling, derivative valuation or risk management 
  • Direct experience in energy markets (e.g., at utilities, energy traders, oil & gas majors) is essential

Analyst, Quant, Structured Finance Analytics

The Structured Finance Analytics Team is composed of a Quant team, a Data Analytics team, a Solutions team and a Cashflow Modelling team. The Quant team has been growing over the last few years and is now composed by 13 analysts. The Quant team builds models and analytical tools to help rating analysts to assess the credit risk of a transaction. Although some projects are global, this team mostly covers European needs.

As a Quant Analyst, you will execute proprietary research for building various types of credit rating models, such as factor models and predictive models covering asset classes of ABS, CMBS, Covered Bond, RMBS and Structured Credit.

The Structured Finance Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace.

You will be expected to adopt an “iron sharpens iron” attitude where the focus is on making everyone better. The ideal candidate will demonstrate quantitative skills in statistics, machine learning, numerical methods and software engineering. This position reports to the Associate Managing Director who leads the team.

Responsibilities:

  • Support rating methodology development and participate in the implementation of quantitative models such as credit predictive models.
  • Maintain and enhance proprietary Python and R libraries related to model building.
  • Leverage structured and unstructured datasets to build new Quant frameworks to assist analysts in informed decision making.
  • Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation.
  • Participate in analyst conversations for understanding ongoing analyst issues.

Requirements:

  • Master’s degree in mathematics, engineering or physics.
  • Up to 2 years of investment research / rating agencies experience with emphasis on fixed income research / analysis, credit modelling.
  • Coding skills in a major programming language such as Python, C/C++ or R / MATLAB.
  • Knowledge of probability theory, numerical analysis and stochastic calculus.
  • Knowledge of numerical methods (numerical integration, Monte Carlo simulation, root-finding and general optimisation techniques).

Nice to have:

  • CQF certification.
  • Exposure to main Python packages for numerical computing and Machine Learning / Data Science (NumPy, Pandas, Scikit-Learn and SciPy).
  • Ability to perform rigorous data analysis on large datasets.
  • Experience developing applications on cloud (AWS preferably).
  • Understanding of both business and technical requirements, and the ability to serve as a conduit between technical and non-technical departments.
  • Familiarity fixed income and structured finance.

Manager – Quant Market Risk W Zespole Financial Services

Please see job role.

Index Production Intern – London

MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.

MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today’s most advanced index-tracking technology, MerQube’s platform enables its clients to bring ideas to market quickly and efficiently.

The Role

As an Index Production Intern, you will work closely with MerQube’s Index Production team to support the daily maintenance and governance of global indices. This internship provides direct exposure to real-world index calculations, data validation, and rebalancing processes within a fast-paced fintech environment.

What You’ll Do:

  • Support daily index production, including validation and monitoring of index levels
  • Assist with corporate action analysis and implementation
  • Perform quality checks on market and reference data
  • Support index rebalances and operational reviews
  • Conduct ad-hoc quantitative and data analysis
  • Document processes and support continuous operational improvements

What You’ll Learn:

  • End-to-end index lifecycle management
  • Data quality and governance in index calculation
  • Practical application of quantitative analysis in index strategies
  • How technology enables scalable, rules-based investing

Who You Are:

  • Currently pursuing a degree in a quantitative or finance-related discipline
  • Detail-oriented with strong analytical and problem-solving skills
  • Comfortable working with data and eager to learn new tools
  • Interested in indices, financial markets, and fintech innovation

Why MerQube:

  • Exposure to industry-leading index technology
  • Collaborative, fast-growing fintech environment
  • Meaningful responsibility and real-world learning
  • Strong mentorship and professional development

Qualifications:

  • Bachelor’s degree in finance, mathematics, or a related field; advanced coursework or certifications (e.g., MSc, CFA, CQF) are a plus.
  • Basic to intermediate proficiency in SQL and Python, with the ability to apply these skills to improve operational efficiency.
  • Strong analytical and problem-solving skills, with the ability to deliver actionable insights to stakeholders.

Benefits:

  • Competitive compensation packages and benefits.
  • Flexible working arrangements, including WFH options.
  • Community-first environment fostering strong relationships.
  • Emphasis on health, wellness, and work-life balance
  • Opportunities for continuous learning, development, and career growth

Senior Market Risk Analyst (f M D) Baden

Join Axpo Solutions AG and play a key role in shaping the future of energy markets. As a Senior Market Risk Analyst, you will focus on analyzing and reporting risk and P&L, ensuring robust risk control processes, and contributing to IFRS reporting. Bring your expertise and make an impact in a dynamic and innovative environment.

What you will do:

  • Perform daily analysis of market risk KPIs and reporting with focus on Prop Trading
  • Analysis of trading portfolios on their risk profile and discussion with front, management and other risk teams.
  • Close interaction with the Front about markets and strategies
  • Further develop the company’s framework of risk analytics (market, liquidity etc.) and Business Intelligence/Reporting
  • In-depth analyses of selected topics at request of head of Market Risk Management, Head RMV, Management Board, Group Functions, Audit etc.

What you bring & who you are:

  • University degree in finance/economics or other fields as long as with sound quantitative/mathematical background
  • Further professional qualification (e.g. CFA, FRM, CQF) are a plus
  • Knowledge of applied statistical & financial methods and modelling
  • Solid knowledge of financial instruments (Futures, Swaps, Forwards, Options) and their valuation
  • Experience in financial risk management
  • Experience in energy/commodity sector
  • Experience in PowerBI and optional: Experience in SQL, Python, Dataiku
  • Very good communication skills (written and oral)
  • Experience in interaction with front units and management in trading environment
  • Structured approach to projects
  • Fluency in English; German is a plus.

CFO Enterprise Risk Management Consultant

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.

HERE’S WHAT YOU’LL NEED:

Minimum 2 years of risk management experience (ERM, compliance, operational risk management, ESG risks). Candidates should demonstrate knowledge in one or more of the following aspects:

  • Knowledge of Enterprise risk management framework, emerging trends and regulatory frameworks. Experience across ERM and/or operational risk platforms and technologies/products, for example ServiceNow, MetricStream, Ventiv, Archer, Finastra, etc.
  • Provide a structured approach & methodology to identify, assess, manage, and mitigate risks across organizations, encompassing a broad spectrum of risks, including financial, operational, technological, and reputational.
  • Problem solving & analytic skills, with capacity to align risk appetite with enterprise strategies, facilitate decision-making, enhance resilience and enable organizations to anticipate and adapt to various internal/external changes.
  • Experience and knowledge of operational risk management procedures, process mapping, gap analysis, covering also data management dimension (data mapping, data crunching and analysis in the context of enterprise risk management).
  • Proficient level in English and either German, French, Italian or Spanish (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) would be a great supplement
  • Industry certifications such as FRM, PRM, CQF, CFA are an asset

Risk Analyst

What you will do

  • Focusing on short-term power market specifics – PnL / Earnings-at-Risk (EaR) / VAR / stress analytics – run real‑time risk
  • End of day PnL reports, risk attribution, and validation of curves and market result
  • Algo & model validation – participate in development process to identify potential risk and compliance issues
  • Limit framework & monitoring – Follow up exposure compared to set limits and report deviations
  • Post‑trade performance analytics – decompose PnL into forecast error, execution slippage and asset availability; feed insights back to the trading and data‑science / Machine learning teams.
  • Provide guidance on market rules and bidding methodologies to ensure Remit compliant trading strategies
  • Work with stakeholders to continuously identify and reduce operational risk
  • Reporting: Verify trade reporting, Check trade logs, support regulatory audits
  • Promote a culture of ethical behavior, transparency, and accountability across the organization
  • Trade surveillance

     

Job requirements

Experience and education

  • 3+ years’ hands-on experience in a front line risk position within the energy trading sectors.
  • Degree in a quantitative field such as Engineering, Data or Computer Science, Mathematics, Physics or Finance Engineering; professional risk certifications (e.g. FRM, CQF) are an advantage.
  • Experience with trade surveillance tools and compliance monitoring systems.
  • Strong understanding of BESS operations and market participation structures is a plus.
  • Fluent written & spoken English; additional European languages a plus.

 

What you will need

  •  Hands‑on, self-starter DNA – you’re comfortable rolling up sleeves, shipping quick wins and iterating fast.
  • Deep knowledge of European short‑term power markets –  DA, ID continuous, FCR, aFRR/mFRR, BRP imbalance settlement is a must have
  • Experience in an asset-backed trading environment , particularly with focus on BESS / Flex asset optimization is a strong plus
  • Experience in algorithmic trading risk and compliance is a strong plus

Senior Quantitative Risk Analyst

We are always looking for talented and motivated colleagues to join our team and together, contribute to the creation of a sustainable future, based on inclusion, empathy, respect and equal opportunities.

The main goal is identifying, analyzing and mitigating potential risks that could impact the company.

Together with us, you have the chance to grow everyday, contributing to energy transition, being responsible to:

  • Design, implement, and validate quantitative risk models for financial, operational, and market risks.
  • Apply advanced statistical techniques (hypothesis testing, regression analysis, confidence intervals, etc.) to assess risk drivers.
  • Develop forecasting models for risk trends and exposures.
  • Conduct Value at Risk (VaR), Profit at Risk (PaR), stress-testing analysis, Monte Carlo simulations and stochastic modeling techniques to quantify potential outcomes under uncertainty.
  • Document model assumptions, limitations, and validation results in line with best practice and governance requirements.
  • Provide training and guidance to junior analysts in the use of advanced quantitative methods.
  • Collaborate with other departments (Trading, Treasury, Operations etc) to integrate quantitative risk insights into business decision-making.
  • Prepare clear, concise, and actionable reports for management.

What you’ll need to succeed:

  • At least 5 years of proven experience in statistics / quantitative analysis
  • Experience in energy sector risk management or commodity markets is a plus.
  • Bachelor’s degree (mandatory) or Master’s degree (preferred) in Statistics, Mathematics, Quantitative Finance, Finance, Economics, Engineering, or related field.
  • Certifications like Certificate in Quantitative Finance (CQF), Financial Risk Manager (FRM), Certified Risk Manager (CRM), Professional Risk Manager (PRM) or equivalent are a strong plus.
  • Technical excellence in quantitative / statistical / stochastical modeling.
  • Competence in at least one statistical software / programming language: Python, R, MATLAB, or SAS is a strong plus.
  • Knowledge of COSO ERM and/or ISO 31000 risk management frameworks is a plus.
  • Excellent communication and presentation skills.
  • Strong analytical and problem-solving skills.
  • Curiosity, innovation, and continuous learning mindset.
  • Strong ethical standards and commitment to risk governance.

Gérant Allocation Et Architectures Ouvertes Multigestion H F

Please see job role.