Location: Europe

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

• Acting as a risk management analyst 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 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

 

HERE’S WHAT YOU’LL NEED:

 

Minimum 2 years of risk management experience (Credit, Market, Liquidity, ERM or Financial Crime). Candidates should demonstrate knowledge in one or more of the following aspects:

• Quantification skills in one or more of the risk domain areas
• An understanding of market environment as well as risk regulatory frameworks: knowledge of Basel III and IV principles and practices, ICAAP, MIFID, FRTB, GDPR, IFRS 9, etc.
• Experience across risk platforms and technologies/products, for example Bloomberg, Reuters, Murex, Algorithmics, Moody’s, eFront, OFSAA, etc.
• Operational procedures and processes covering also data management in risk areas
• Proficient level in English and either German, Spanish or French (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.

Education:

• Bachelors and Master’s degree in Engineering/Technology/Mathematics/Statistics/related disciplines from Tier 1 universities/institutes in India or abroad.
• Relevant industry certifications such as CFA, CQF will be looked at favorably

Experience Core Skills:

• 5 – 7 years of mixed experience in product management and hands on product development
• Proven track record of launching and growing products
• Should have worked in SaaS products using Python as a programming language
• Experience with agile development methodologies.
• Excellent Team player and demonstrate the ability to work in ambiguity and thrive in chaos.
• Self motivated and driven with a heightened sense of ownership and accountability

Experience Soft Skills:

• Proven ability to take initiative and work under pressure in a changing/growing environment.
• A passion to keep oneself abreast of the latest technological advancements and suggest ways to improve ways of working.
• Exceptional decision-making skills: Ability to prioritize across needs given limited resources
• Thrives in a startup like environment: loves dealing with fast pace and changing needs
• Ability to create relationships both inside and outside of the Product organization
• Excellent story telling/articulation abilities along with the capacity to dive into minute details.
• Superlative communication and consensus building skills.

Work Shift Timing – 2:00 PM – 11:00 PM IST

When you join EDF Trading, you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.

Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.

EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.

Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.

Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

Who are we? We are EDF Trading, part of the EDF Group – a world leader in low-carbon, sustainable electricity generation.

Join us, make a difference, and help shape the future of energy.

 

Job Description:

Department

Front Office Risk Management is a trading floor-based risk management team that actively monitors the EDFT trading portfolio and global energy markets in real time in order to keep the Executive team and Head of Trading dynamically informed of key risk issues. The team also assists business development, origination and trading in developing proposals for new business activities.

Position Description

To become a key member of the Front Office Risk team by contributing rigorous risk analysis for presentation to the executive team, facilitated by forging strong relationships with trading desks underpinned by an in-depth understanding of global energy markets.

Main responsibilities

Key responsibilities include:

• Interact daily with Trading desks and Fundamental analysis teams to facilitate independent analysis and challenge trading strategies
• Understanding in detail the day to day drivers of price volatility and how this relates to the portfolios under your responsibility
• Understand in detail on a daily basis the positional makeup of the portfolios under your responsibility
• Understand in detail on a daily basis the key P&L drivers of the portfolios under your responsibility
• When required produce weekly deep dives for management on specific trading positions to identify and analyse risk/reward
• Produce well-written commentary for presentation at weekly meetings with the executive team
• Liaise with other support functions to escalate and resolve market, operational and other risk issues as appropriate

Experience required

• 2 – 5 years’ experience of working in a risk management, valuations or trading role within an investment bank or energy trading firm
• A strong understanding of risk calculation methodologies for linear and non-linear instruments including: VaR, back-testing, portfolio stress testing, and sensitivity analysis
• Experience interacting directly with traders
• Detailed knowledge of some of the following energy commodities: Power, Gas, Oil, LNG, LPG & Coal

Technical requirements

• Strong Excel, Python, VBA or other programming skills preferable, particularly ability to analyse complex data
• Experience in building risk analytics tools in excel or other systems

Person specification

• Excellent mathematical and analytical skills including a good knowledge of statistics
• Minimum Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or Science
• Preference for MSc Finance, CQF, PRM, FRM or ERP holders
• Knowledge of common commodity trading instruments including physical forwards, swaps, options, and other derivatives
• In-depth understanding of option valuation methodologies, preferably including exotics
• Excellent written and verbal communication skills to prepare and present material to senior executives as required
• Strong interpersonal skills to build relationships with key stakeholders
• Attention to detail and strong focus on accuracy of information
• Team-work: ability to function in a dynamic small team and provide cover for other team members.

Hours of work: 40 hours per week, Monday to Friday

Pension Insurance Corporation (“PIC”) provides secure retirement incomes through comprehensive risk management and excellence in asset and liability management, as well as exceptional customer service. Our purpose is to pay the pensions of our current and future policyholders. We achieve our purpose by setting Company-wide strategic objectives and driving a healthy culture based on our PIC Values of Resilient, Adaptable, and Loyal.

PIC is recruiting for a Quant Strategist to join its ALM Securities & Derivatives function. This function sits at the core of PIC’s business, creating value by optimising the relationship between assets and liabilities in line with the firm’s risk appetite.

The Quant Strategist team specifically works closely with the wider Investment department to address business challenges through a combination of quantitative and actuarial insight. The team works in partnership with the broader ALM Securities & Derivatives function to shape and advance the analytical frameworks, hedging capabilities, and portfolio-optimisation tools that underpin investment decisions and strengthen balance-sheet management.

This particular role will support the enhancement of PIC’s ALM quantitative toolkit, developing systems and datasets that enable efficient modelling and analysis. It will also focus on translating robust data and models into practical, user-friendly analytics, collaborating with the investment team to deliver clearer insights and support faster, more informed decisions, enhancing the overall investment process.

Your specific accountabilities will be:

• Maintain and enhance the ALM Quant Platform, ensuring existing models, libraries, and analytics remain accurate, robust, and well-documented
• Design and deliver new model features or analytical capabilities, aligned to business requirements, regulatory needs, or investment initiatives
• Develop and implement model components to be handed over to Technology for production deployment, ensuring clean code, technical specifications, and appropriate testing artefacts
• Support BAU production processes, including running ALM analytics, debugging issues, and providing explanations of results to internal stakeholders
• Analyse and approximate Solvency II balance-sheet impacts under different market or portfolio scenarios, supporting risk management and investment decision-making
• Collaborate with ALM, Investment, Actuarial and Risk teams to refine modelling assumptions, validate outputs, and ensure consistency across analytical frameworks
• Contribute to the continuous improvement of modelling standards, including coding practices, version control discipline, and model governance documentation
• Undertake research to enhance modelling methodologies, introducing innovations or efficiency improvements that strengthen PIC’s ALM capability
• Develop technical understanding and platform expertise, with the expectation to progress towards subject-matter expertise in key ALM modules

Requirements

Experience:

• Professional qualifications (e.g., CFA, FIA, CQF, PhD) are advantageous but not essential
• Experience contributing to model development, calibration, or platform enhancement within an investment, actuarial, ALM, or risk environment
• Experience providing BAU model support, troubleshooting issues, and helping stakeholders interpret ALM metrics in a fast-paced environment
• Strong academic record in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering)

We’re seeking someone to join our team as a Associate to assist with performance and exposure/risk attribution analytics of hedge fund portfolios using multi-factor models. The incumbent will further contribute towards testing and building systematic quantitative solutions for the firm’s hedge fund portfolios.

Established in 2004, Morgan Stanley Fund Services (MSFS) is a global business within the Institutional Equities Division (IED) that provides fund administration services for over $700billion in assets across 350+ hedge funds, private equity and large family offices clients. Our best-in-class offering includes accounting and investors services, portfolio analytics, middle-office functions, regulatory and financial reporting, and tax services. Delivering these services to our clients and their investors is a diverse team of 1,400 highly skilled employees across the globe based in New York, London, Glasgow, Dublin, Mumbai, Bengaluru, and Hong Kong. Joining MSFS, you will discover a dynamic environment where every day offers new opportunities for personal growth and innovation. Here at MSFS your career isn’t just a job, it’s an incredible journey fueled by collaboration, challenge, and the chance to make a meaningful impact to our business, our clients, their investors and the wider Morgan Stanley franchise.

The MSFS Portfolio Analytics team is an energetic, globally connected group driving innovation in portfolio analytics for our clients. As part of the team, you will collaborate with colleagues and our clients to deliver impactful risk and performance reports, ensuring clients have the insights they need to succeed.

This differentiating MSFS service provides customized analytics to meet the complex needs of our clients. The team provides opportunities to lead new ways of thinking and actively contributes to developing new analytical tools through developing new ad-hoc scripts and working with our technology colleagues to build new tools. We value problem-solving, continuous learning, and creative thinking.

Our exceptional talent is passionate about data, eager to innovate, and ready to help shape the future of our analytics. If you want to make meaningful contributions for our clients, the Portfolio Analytics team offers the perfect opportunity to make your mark.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What You’ll Do In The Role:

• Focus on periodic as well as bespoke delivery of quantitative analyses related to portfolio exposure, risk, and performance
• Collaborate with the global client coverage team members to assist answering client questions on factor analysis of their portfolios
• Prepare custom client reports that involve risk and performance calculation
• Help in building automation to scale bespoke solutions for the clients using R/VBA or with IT solutions
• Participate in the ideation for the new products critical to the success of pre-trade quant offering and contribute towards building systematic process for generation of content

What You’ll Bring To The Role:

• Master’s in quantitative discipline such as Financial Engineering/Mathematics/Statistics/Computing with 2-4 years of relevant experience. Certification such as CFA, CQF or FRM will be an added advantage although not mandatory.
• Familiarity with Equities and Equity derivatives products and familiarity with multi-factor risk models
• Hands-on-experience of R or Python programming, familiarity with LaTeX, Markdown and Shiny
• Analytical mindset and problem-solving ability with a quantitative aptitude
• A team player with strong verbal and written communication skills with attention to details

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 an Enterprise Management Risk Analyst/Consultant in our CFO&EV practice, a typical day might include:

• Acting as a risk management analyst 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 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
• Traveling globally to work with prestigious clients and deliver large-scale transformational change.

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.

WHAT’S IN IT FOR YOU?

We are looking for risk professionals, experienced in Enterprise Risk Managements in various industries and who demonstrated ability to:

• Drive the identification, measurement and management of company-wide risks.
• Conduct risk assessments to identify current and emerging risks.
• Advise and implement ERM frameworks, processes and appropriate risk tools.

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