Employment Type: Full-time

About Global Delivery Services

Global Delivery Services refers to EY’s worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.

Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.

Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.

Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.

Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

The Opportunity

This role offers the opportunity to work within EY’s Financial Services Risk Management (FSRM) group, supporting leading global financial institutions in identifying, measuring, and managing risk including trading book market risk & counterparty credit risk, banking book credit risk, operational risk, and regulatory requirements. As part of the Quantitative Trading Book (QTB) team within FSRM, you will contribute to strategic and functional transformation across risk, treasury, and front to back-office functions. You will apply quantitative skills to enhance risk and valuation processes, support regulatory compliance, and develop analytics that drive better decision making for clients with capital markets activities.

This is an opportunity for quant professionals looking to work on models, regulatory initiatives, and high impact capital markets engagements across global banks, broker dealers, asset managers, and insurance institutions.

Your key responsibilities

• Demonstrate deep technical capabilities and industry knowledge of financial products
• Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services
• Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
• Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes
• Play an active role in mentoring junior consultants within the organization.
• Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs
• Contribute to people initiatives including recruiting talent for the team
• Stakeholder and client management
• Play your part in developing intellectual capital to support delivering superior outcomes for client and firm.

Skills and attributes for success

• Experience in model development, validation, monitoring, and audit procedures (stress testing, back testing, benchmarking) of trading book models (Market risk/Counterparty credit risk/ front office pricing models).
• Strong understanding of statistical and numerical techniques (e.g., Monte Carlo, finite difference methods)
• Knowledge of derivative pricing concepts across asset classes (rates, equities, credit, FX, commodities)
• Solid grounding in mathematical foundations including stochastic calculus, differential and integral calculus, probability, linear algebra.
• Understanding of optimization techniques (e.g., gradient‑based methods) relevant to calibration, risk analytics, and numerical model implementation.
• Strong coding skills in advanced Python / C++ and basic SQL
• Awareness of emerging AI/ML methodologies and their use in risk management, model validation, and quantitative workflow automation.
• Basic AI knowledge, excellent communication, analytical thinking, and problem solving skills

Ideally, You Will Also Have

• Exposure to market risk and counterparty credit risk methodologies (VaR, ES, SVaR, CVA, PFE) and time series techniques (e.g. GARCH).
• Hands on experience with pricing model development/validation (e.g., HW1F/2F, HJM, LMM, SABR, Heston, Dupire), volatility calibration, curve bootstrapping
• Experience with risk/pricing systems such as Murex, Calypso, Numerix, Bloomberg, RiskMetrics, etc.
• Advanced knowledge in AI is good to have.

What We Look For

• Undergraduate or graduate degree in quantitative disciplines (Comp. Finance, Mathematics, Engineering, Statistics, Physics) or PhD in quantitative topics
• Regulatory knowledge in FRTB Basel, CCAR.
• Professional certifications (CQF, FRM, PRM are a plus)
• Ability to work in a fast-paced environment and support engagements with global financial institutions
• Willingness to travel based on client needs.

Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud, or can be run as a service so we free up internal resources to focus on business priorities.

Financial Risk Analytics is seeking a Senior Product Analyst in London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery.

Responsibilities

The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services.

The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation.

The role will support the design and continuous improvement of data pipelines, APIs, integration services, controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows.

The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints, and expected behaviour.

All employees are required to work from the office a minimum of two days per week.

Required experience

• Senior experience as a product analyst, business analyst, data analyst, implementation analyst, risk technology analyst, or similar role within financial services, market data, or analytics technology.
• Strong understanding of market data, reference data, pricing data, data quality, data lineage, data controls, and integration workflows.
• Mandatory experience analysing and documenting data pipelines, APIs, batch processes, event-driven workflows, databases, file-based interfaces, or cloud-based data platforms.
• Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation.
• Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.
• Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, and model data requirements.
• Experience working with Agile delivery teams and collaborating across product, engineering, QA, support, financial engineering, and client-facing functions.
• Excellent analytical, communication, and problem-solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders.
• Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline.
• Final-stage candidates are required to attend at least one in-person interview, ordinarily at the nearest S&P Global office, before an offer can proceed.

Preferred experience

• Experience with Risk Analytics, Buy Side Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions.
• Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms.
• Knowledge of market data vendors, data mastering, golden-source design, curve construction, historical market data, pricing services, scenario generation, or analytics input validation.
• Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics.
• CFA, FRM, CQF, or other relevant professional qualification.

Please see job role.

We are currently seeking for Derivative Financial Instruments Specialist with exceptional analytical skills and experience in consulting or financial services to become part of our rapidly growing Financial Risk Management team in our offices in Athens.

Our Financial Risk Management (FRM) practice constitutes the fastest growing team in the local market with a proven track record of delivering large scale engagements across the industry during the recent past. Our practice forms part of Deloitte’s EMEA “One_FRM” initiative which brings together risk professionals from the UK, Italy, the Netherlands, Belgium, the Nordics, Switzerland, Ireland, South Africa, Middle East and Greece into one single team thus representing an excellent opportunity to join forces and fulfil the core principle of Deloitte to act “as one” at European level with the aim to continue offering “state of the art” and value-adding propositions to our clients and solve “real world” problems faced by Financial Institutions in Greece and abroad.

We offer to our clients comprehensive solutions in the wide spectrum of financial risk areas focusing on credit and market risk as well as capital management, liquidity and treasury risk as a response to industry-wide challenges.

If you are ready to advance your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you are ready to join Deloitte’s Financial Risk Management practice.

#YourRole

Deloitte is a leading provider of Financial Risk Management Advisory services and thus offers the opportunity to work on high-profile projects and clients that are leaders in the industry.

Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:

• Work with client stakeholders to define business requirements and articulate them into functional and technical specifications.
• Conduct stakeholder interviews or support client workshops to capture business or technical requirements for financial risk management solutions.
• Perform independent valuations of derivative financial instruments.
• Develop, review and validate pricing models for derivative financial instruments.
• Analyze market data used in the valuations of derivative financial instruments.
• Utilize a range of tools to perform data analyses and visualizations, delivering meaningful insights to clients.
• Provide strategic advice regarding forthcoming changes in the regulatory environment and their implications to our clients’ business and reporting requirements.
• Support the development of client bids and presentations of proposals.
• Draft policy and process manuals.
• Liaise with a range of stakeholders, including clients and Deloitte network.

#WinningRequirements

We are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:

• University degree in STEM, Economics, Finance, or another similar discipline.
• At least 1-3 years of relevant experience in derivatives valuations, derivatives clearing processes and derivatives back office operations within consulting or financial services
• Excellent communication skills in both English and Greek, verbally and in writing.
• Strong familiarity with the MS Office Suite (Excel, Word, PowerPoint)
• Strong analytical and presentation skills.
• Professional approach and proactive attitude.
• Fulfilled military obligations (where applicable).
• Professional certifications such as CFA, FRM, PRM or CQF will be considered an advantage.

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

• Experience in model development or validation for Market risk models (FRTB, VaR, SVaR, RNIV, P2A) or Pricing models. Documenting all work performed in a clear, concise, and re-performable manner. Tracking and closing model-related findings.
• Proven experience in Market risk, FRTB risk modeling or model validation.
• Models – Value at Risk, Counterparty Risk Exposure models, FRTB (IMA), Pricing of plain vanilla and exotic derivatives, XVA, Stress Test Models, etc.
• Produce high quality model validation reports, with a particular focus on noting limitations, weaknesses, and assumptions.
• Providing subject matter expertise on models and model risk to teams globally.
• Proven experience in model development or validation across derivative pricing and valuation models.
• Strong understanding of regulations and guidelines like SR 11-7 or other equivalent guidelines for model risk management.
• Review outcome, impact, or benchmark analysis, or develop/ validate a benchmark model (as applicable).
• Assess model risk, perform model robustness analysis, and identify and evaluate model limitations.
• Strong knowledge of regulatory expectations, model risk governance, and financial risk management practices.
• Programming skills like: Python and fair understanding of SQL.
• Proficient in Microsoft Word, Excel, and PowerPoint and Latex
• 3+ yrs of experience.

Equal employment opportunity information

Qualifications

• MBA Finance, Bachelor/Master in Statistics, Engineering/Technology
• CFA/FRM/CQF certification

Roles And Responsibilities

In this role, you will be responsible for counterparty risk modelling across MUFG’s banking arm and securities business under a dual-hat arrangement. You will:

• Support the development, maintenance, and continuous enhancement of counterparty exposure models.
• Develop analytical methodologies and model enhancements to improve the accuracy, robustness, and efficiency of exposure measurement.
• Design and execute model testing and validation analyses, including assessment of model assumptions, methodology, implementation, and performance.
• Investigate model issues and limitations, identify root causes, and recommend appropriate remediation or enhancement activities.
• Specify, test, and support the implementation of system and model changes required to deliver model improvements.
• Develop and enhance operational controls and monitoring processes to strengthen the governance and robustness of exposure models.
• Support business, credit risk, and other stakeholders in analysing and resolving queries relating to exposure calculations and model outputs.
• Collaborate with Market Risk Analytics, Model Validation, and other partner teams on model enhancements, investigations, and strategic initiatives.
• Prepare management information, model performance reporting, and materials for working groups, committees, and governance forums.
• Contribute to ad hoc analytical investigations, regulatory initiatives, and strategic projects as required.

Required

Job Requirements

• Minimum 4 years of relevant experience in quantitative analytics, model development, model validation, counterparty risk, market risk, or a related risk management function within a financial institution.
• Understanding of financial markets and products, including derivatives.
• Knowledge of derivatives pricing principles and quantitative modelling techniques.
• Knowledge of probability theory, stochastic processes, and stochastic calculus.
• Proficiency in analytical and programming tools such as Python, R, Excel, and VBA.
• Strong analytical, problem-solving, and communication skills.
• Master’s degree or higher in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Physics, Financial Mathematics, Quantitative Finance, or a related field.

Preferred

• Understanding of counterparty credit risk methodologies and exposure measures, including Expected Exposure (EE), Potential Future Exposure (PFE), and Credit Valuation Adjustment (CVA).
• Experience in a quantitative risk, counterparty risk, market risk, or model risk management role within the banking industry.
• Experience with Monte Carlo simulation techniques and exposure modelling frameworks.
• Knowledge of object-oriented programming languages such as C# or C++.
• Professional qualifications such as FRM, CQF, CFA, or equivalent.

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

Risk Analytics Group (RAG) is a specialized area within the Risk Department, responsible for Market Risk Models, Capital Models, Counterparty Exposure Models, Portfolio and Credit Models, and Initial Margin models. The team members have strong quantitative skills and the team head reports to the regional and global Chief Risk Officer.

The successful candidate will be a member of the VaR and capital metrics sub-team of RAG. The team is responsible for the Market Risk models that support VAR/RNIV/IRC and related capital metrics. These models are used for internal control as well as regulatory capital via the IMA (Internal model-based approach). The VAR model covers Rates, FX, Credit, inflation, and Equity.

In addition, the team supports development of other market risk measures, including market risk stress models, Economic capital models and Interest Rate Risk in the Banking Book. Future developments for capital models will require development as the transition to FRTB takes place.

The candidate will work closely with other team members in RAG, credit risk management, the IT development teams, risk model validators and Front Office. The successful candidate will work in an inclusive and proactive way, ensuring that the team takes the lead in new model development and resolves issues as they arise, communicating clearly in management reports.

Roles And Responsibilities

In this role, you will be responsible for counterparty risk modelling across MUFG’s banking arm and securities business under a dual-hat arrangement. Under this arrangement, you will act and make decisions on behalf of both the bank and the securities business, subject to the same remit and level of authority, and irrespective of the entity which employs you. You will:

• Assist with risk model development and maintenance
• Develop, maintain and improve market risk models
• Design and run model validation tests, for both model assumptions and implementation. Investigate issues and propose changes where there are model weaknesses.
• Specify and test system changes to implement improvements.
• Improve existing operational controls around the exposure models and propose new ones to increase robustness.
• Support business and market risk department requests in investigations on specific issues.
• Ad-hoc projects as required, including collaboration with credit risk analytics portfolio credit analytics.
• Prepare summary reporting for working groups and committees that review model performance
• Proactively contribute to wider Risk function initiatives and projects.

Required

Job Requirements:

• Minimum 4 years of relevant experience in quantitative analytics, market risk, model development, model validation, or a related risk management function within a financial institution.
• Understanding of financial markets and products, including derivatives.
• Knowledge of derivatives pricing principles and quantitative modelling techniques.
• Strong data analysis and problem-solving skills, with the ability to analyse complex datasets and communicate findings effectively.
• Proficiency in analytical and programming tools such as Python, R, Excel, and VBA.
• Master’s degree or higher in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Quantitative Finance, or a related field.

Preferred

• Understanding of market risk methodologies and measures, including Value-at-Risk (VaR), Incremental Risk Charge (IRC), RNIV, and stress testing frameworks.
• Knowledge of statistical and quantitative techniques for time-series analysis and risk modelling.
• Knowledge of probability theory, stochastic processes, and stochastic calculus.
• Knowledge of object-oriented programming languages such as C# or C++.
• Professional qualifications such as FRM, CQF, CFA, or equivalent.

Roles And Responsibilities

• Proven experience in market risk, risk modeling or model validation/ development. Assess the model’s conceptual soundness and methodology. Develop tests to assess the model methodology and assumptions. Market Risk Models – Value at Risk, Expected Shortfall, Pricing of plain vanilla and exotic derivatives (Equity , Bond, Mutual fund, derivatives products), Pricing of Credit derivatives, FRTB (SA & IMA), Counterparty Risk Exposure models, FVA, PVA, IPV, Stress Test Models – CCAR etc.
• Knowledge of Interest Rate Risk in the Banking Book (IRRBB – EVE and NII perspective) and/or liquidity risk modelling approaches
• Reviewed pricing models based on simulations or path dependent models. Assessed calibration of these models with market data.
• Produce high quality model validation reports, with a particular focus on noting limitations, weaknesses, and assumptions.
• Strong understanding of regulations (Basel , EU, SR11-7) or other equivalent guidelines for market/model risk management.
• Perform independent testing to check robustness of the model.
• Document validation processes, findings, and recommendations in detailed reports.
• Understanding of financial instruments and market risk.
• Detail-oriented with strong problem-solving skills and a proactive approach to challenges.

Qualifications:

• Bachelor’s/Master’s degree in mathematics, Statistics, Economics, Finance, Physics or a related field. Advanced degrees or certifications (e.g., CFA, FRM, CQF) are a plus.
• Proven experience in model validation, quantitative analysis, or a similar role within the financial services industry.
• Strong analytical skills and proficiency in statistical software/tools (e.g., Python, R, SAS).

Connect to your Industry

Counterparty Credit Risk (“CCR”) and Credit Valuation Adjustment (“CVA”) Risk are major risk types for Financial Institutions, particularly within the Capital Markets divisions of banks and other financial institutions that trade derivatives, securities financing transactions and other counterparty-facing products. These risks sit at the intersection of front office, risk management, finance, model risk, collateral management and regulatory capital.

CCR and CVA capital can represent a material component of a bank’s prudential capital requirements, particularly for institutions with significant derivatives and securities financing activity. The drivers of CCR and CVA are complex, requiring a detailed understanding of traded products, counterparty exposure, collateralisation, netting, margining, wrong-way risk, exposure modelling, and the regulatory capital frameworks used to measure and manage these risks.

As we expand our Risk Advisory business to more holistically include all risk types, the focus on CCR and CVA continues to increase. With important regulatory developments including SA-CVA, SA-CCR, advancing IMM expectations and model risk management expectations for counterparty credit risk, client-driven demand to support banks and other financial institutions in these areas is creating an increasing need for these skills.

Connect to your career at Deloitte 

Deloitte drives progress. Using our vast range of expertise, we help our clients’ become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

Responsibilities may include:

• Providing technical guidance and interpretation of prudential regulations relating to CCR and CVA, including SA-CVA, BA-CVA, SA-CCR, IMM and associated governance, model risk and regulatory expectations for Capital Markets Financial Services institutions.
• Providing input into, and/or leading, technical presentations to financial services clients covering CCR, CVA, key regulatory trends, technical insights and practical implementation challenges.
• Developing and managing a portfolio of client relationships across the financial services sector to support business growth.
• Managing workstreams or projects as part of a Deloitte team to support financial services clients in managing their CCR and CVA regulatory programmes, including SA-CVA implementation, BA-CVA assessment, SA-CCR optimisation, IMM development or remediation, exposure modelling and CVA risk management.
• Leading and managing teams and individuals to support meeting client demands, while also providing the basis for people development, mentoring and leadership.
• When supporting our clients, we will be looking for individuals who can work in the CCR/CVA ecosystem, either in the Front Office working with traders, XVA desks, quants or structurers, or in Risk Management, Finance, Model Risk or Quantitative Analytics working with risk managers, finance teams, model validators, credit officers or quantitative teams.
• Areas of work can and will vary, but the core competencies needed to support these clients remain largely the same. These include the ability to understand traded products, counterparty exposure, netting, collateral, margining, exposure profiles, valuation adjustments, regulatory capital requirements and the practical implementation of models and frameworks within large financial institutions.
• The candidate should have a broader perspective of potential issues encountered when managing diverse teams and the strategies to overcome them; have a clear understanding of the firm’s commitment to creating a more inclusive culture; and be able to manage diverse teams within an inclusive team culture where people are recognised for their contribution.

Connect to your skills and professional experience

The hired candidate will need a technical and practical understanding of CCR and CVA. They will need to have good knowledge of investment banking products and the associated counterparty credit, exposure and valuation adjustment risks associated with these products, in particular SA-CVA, SA-CCR and IMM. In conjunction with this, they will need to be able to communicate technical CCR/CVA information to non-technical senior management verbally and in writing.

The successful candidate’s broad understanding of CCR and CVA will later lead to the responsibility of managing multiple engagements, while also acting as a subject matter expert.

• A relevant university degree, such as Financial Mathematics, Mathematics, Statistics, Physics, Business, Finance, Economics, Financial Engineering or a related quantitative discipline, preferably with Honours, or equivalent qualification.
• CFA, FRM, CQF or equivalent professional designation preferred.
• Technical understanding of Counterparty Credit Risk, CVA and quantitative risk management, including:
  • Definition and range of traded instruments that generate counterparty credit exposure.
  • How derivatives, securities financing transactions and other counterparty-facing instruments are valued.
  • How counterparty exposure arises over the life of a transaction.
  • How netting, collateralisation, margining and close-out mechanics affect exposure and CVA.
  • When different CCR/CVA methodologies and modelling approaches should be used.
• Familiarity with counterparty credit risk and CVA measures, their derivation and their use in day-to-day risk-management operations of a financial institution. This may include PFE, EPE, EE, effective EPE, exposure profiles, expected positive exposure, potential future exposure, replacement cost, add-ons, alpha, credit spreads, CVA sensitivities and CVA capital measures.
• Understanding of exposure modelling approaches, including simulation-based exposure modelling, Monte Carlo methods, collateral modelling, netting set treatment, margin period of risk, wrong-way risk and stress testing.
• Experience in CCR and CVA risk management processes and frameworks, including governance, risk appetite, limits, identification, measurement, monitoring, reporting, stress testing and supporting data and infrastructure.
• Detailed knowledge of regulation impacting CCR and CVA, including SA-CVA, BA-CVA, SA-CCR, IMM, leverage exposure considerations for derivatives and securities financing transactions, and relevant prudential expectations for model governance and validation.
• Familiarity with topical regulatory and risk-management issues and experience dealing with the associated practical challenges related to their management and measurement within a large-scale financial institution.
• Practical experience with development, implementation, validation or remediation of CCR/CVA methodologies and frameworks.
• Knowledge and practical experience of model development and validation across standardised and internal model approaches, including SA-CVA, BA-CVA, SA-CCR and IMM.
• Understanding of regulatory quantitative impact studies, capital impact analysis, model change programmes or data remediation exercises relating to CCR and CVA. Experience in coordinating data collection, methodology assessment and capital impact analysis in line with these programmes would be advantageous.
• Familiarity with XVA concepts and infrastructure would be advantageous, including CVA, DVA, FVA, MVA, KVA, valuation adjustments governance, XVA desks, hedge accounting interactions and the relationship between accounting CVA and regulatory CVA capital.
• Ability to understand and explain the interaction between CCR/CVA, credit risk, market risk, liquidity risk, collateral management, clearing, margining and front office trading activity.
• Consulting skills: the ability to compile, digest and present technical information to senior non-technical audiences orally, visually and in writing.
• Utilising excellent interpersonal skills with a thorough technical understanding to facilitate workshops with clients.
• Team player with good organisational, planning and leadership skills.
• Sound people management skills and experience of developing and managing a team of professional staff.

Wells Fargo is seeking a Senior Quantitative Analytics Specialist.