Employment Type: Full-time

Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.

This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Santander Corporate & Investment Banking (Santander CIB) is Santander’s global division that supports some of the world’s most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.

THE DIFFERENCE YOU MAKE

Santander CIB is looking for a Linear Rates Quant (Associate Level) based out of Madrid.

The Front Office Quant area is in charge of the development of the pricing and risk models, as well as the pricing tools for Sales and trading teams. As part of the “Linear Rates & Inflation Products Quants” team, the focus of this position will be on the development of the pricing libraries for Linear Rates models as well as the curves library.

We are looking for a talented and motivated Inflation Quantitative Analyst to join our Quantitative Products team. The successful candidate will focus on the development, implementation, and maintenance of pricing analytics and curve construction frameworks for Linear products, with a particular emphasis on Bonds pricing. This is a high-impact role working at the intersection of research, technology, and trading.

We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:

• Develop, implement, and maintain pricing analytics for Linear Rates and Inflation products, with a focus on swaps and bonds.
• Contribute to the build-out of the new linear quant library in Rust and its Python APIs for front-office usage.
• Maintain and enhance legacy C++ pricing components, and support migration/interoperability between C++ and Rust libraries.
• Design and improve curve construction frameworks used in pricing and risk.
• Partner closely with Trading, Sales, Structuring, and Technology to deliver robust, production-ready analytics and tools.
• Investigate pricing/risk discrepancies, perform root-cause analysis, and deliver high-quality fixes under business timelines.
• Support model governance through testing, documentation, and validation-oriented deliverables.

What You’ll Bring

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We’re enabling teams to go beyond by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Professional Experience

• 2–5 years of relevant experience in Front Office Quant, Quant Developer, or Financial Engineering roles in Rates and/or Inflation. (Required)
• Hands-on experience delivering pricing analytics and/or curve construction for linear fixed-income products (e.g., swaps, bonds) in production environments. (Required)
• Experience modernizing quant libraries (e.g., introducing new libraries/APIs while supporting legacy codebases) in collaboration with trading and technology teams. (Preferred)

Education

• Master’s degree in a quantitative discipline such as Quantitative Finance, Financial Engineering, Mathematics, Physics, Statistics, or Computer Science. (Required)
• PhD in a quantitative field and/or relevant industry certifications (e.g., CQF, FRM) (Preferred)

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 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 Consultant 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 our 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 3-5 years of Credit Risk management experience. Candidates should demonstrate knowledge in one or more of the following aspects:

• 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/scoring systems
• 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.

The team operates across multiple geographies and asset classes, acting as a bridge between quantitative research, technology, trading desks and Risk. QBS leads the methodological definition, development, calibration and governance of valuation models, ensuring their robustness, consistency and proper integration into the bank’s internal systems.

We are looking for a Senior Front Office Quant to lead the modelling efforts in Fixed Income (Rates, Credit, Inflation) and XVA for the London platform.

About you

• You have a strong quantitative background and significant experience in Front Office modelling within Global Markets.
• You are comfortable owning model design end-to-end: from theoretical framework to production deployment and model governance.
• You thrive in a fast-paced trading environment and are used to interacting directly with Trading, Structuring and Risk teams.
• You combine deep mathematical knowledge with strong implementation awareness.
• You demonstrate leadership, autonomy and the ability to prioritize according to business strategy.
• You are proactive, analytical and comfortable challenging and being challenged in technical discussions.
• You embody BBVA’s purpose and values in your professional approach.

About the job:

The selected candidate will play a key role in defining and executing the modelling roadmap aligned with BBVA CIB – Global Markets strategy in London.

Main responsibilities include:

• Lead the design, development and enhancement of valuation models for:
  • Interest Rate derivatives (linear and non-linear products)
  • Credit derivatives
  • Inflation products
  • XVA (CVA, DVA, FVA, MVA, KVA and related adjustments)
• Define appropriate modelling frameworks (e.g. LGM, multi-curve frameworks, SABR-type models, stochastic basis, hybrid models, credit intensity/structural models, etc.) and numerical techniques for pricing and risk management.
• Assess model risk, calibration methodologies and sensitivity frameworks, ensuring robustness and alignment with market practices.
• Act as primary quantitative partner for the London Trading and Structuring desks in:
  • Evaluating new product proposals
  • Analysing model gaps
  • Prioritizing developments according to business strategy
• Coordinate closely with Quantitative Development and Engineering teams to ensure:
  • Proper implementation of models into production systems
  • Scalability and performance of pricing libraries
  • Consistency across platforms and asset classes
• Lead the integration of models into testing and validation frameworks, improving efficiency of regression and model validation processes.
• Participate in model governance and risk approval processes:
  • Prepare technical documentation
  • Present models in internal risk committees
  • Engage with Model Risk Management and Internal Validation teams
  • Support regulatory and audit requirements related to model risk
• Support trading desks on daily activity, including:
  • Analysis of pricing discrepancies
  • Calibration issues
  • Hedging metrics and risk explanations
• Contribute to the strategic development of the XVA framework across asset classes, ensuring consistency between FO pricing and risk methodologies.
• Mentor junior quants and contribute to the technical evolution of the team.

 

Required skills and experience:

• Relevant experience in a Front Office Quant role within Global Markets, with strong exposure to Fixed Income and XVA.
• Deep expertise in Interest Rate modelling , including multi-curve frameworks and stochastic volatility models.
• Strong knowledge of Credit and Inflation derivatives valuation .
• Proven experience in XVA modelling frameworks (CVA/DVA/FVA/MVA), exposure simulation, collateral modelling and counterparty risk.
• Solid understanding of model calibration techniques and numerical methods (Monte Carlo, PDE, lattice methods, adjoint methods, etc.).
• Strong programming skills in C++ (object-oriented design, STL, performance considerations).
• Good knowledge of Python for prototyping and analytics.
• Experience interacting directly with Trading desks and Risk teams in an international environment.
• Familiarity with model governance processes, internal validation and regulatory requirements.

Education

• MSc in Mathematics, Physics, Engineering or other STEM discipline.
• MSc in Quantitative Finance is a plus.
• PhD in a quantitative field is highly valued.
• Bonus: CQF certification will be highly valuable.

We are seeking a highly skilled and entrepreneurial AI Forward Deployed Engineer (Manager / Senior Manager level) to join our Risk Consulting team. This is a hybrid, high-impact role designed for a professional who possesses a unique combination of deep market/traded risk domain expertise, consulting acumen, and hands-on AI/ML engineering capabilities.

As a Forward Deployed Engineer, you will work directly on-site with leading financial institutions to design, prototype, and deploy production-grade AI, Generative AI (LLMs), and advanced analytics solutions to revolutionize their market risk, traded risk, and trading-floor operations.

Key Responsibilities

• AI-Driven Risk Solutions: Lead the design, development, and deployment of AI/ML and Generative AI (LLM) solutions tailored for traded risk management, market risk frameworks, and trading systems.
• Rapid Prototyping & Deployment: Act as a “forward-deployed” engineer, working closely with clients to build proof-of-concepts (PoCs) and rapidly scale them into production-grade risk engines.
• Risk Framework Transformation: Evaluate clients’ legacy risk management frameworks, trading strategies, and valuation systems to identify areas ripe for AI-driven automation, predictive modeling, and optimization.
• Advanced Analytics & Stress Testing: Formulate and implement advanced machine learning models and stress-testing scenarios to quantify potential losses in trading portfolios (Rates, FX, Credit, Equities, Structured Products) stemming from major market shifts.
• Automated Risk Reporting & Operations: Architect, automate, and manage the production of next-generation risk monitoring pipelines (daily PnL attribution, VaR fluctuations, limit monitoring) utilizing GenAI, advanced data engineering, and modern visualization tools.
• Bridge Business & Tech: Act as the translation layer between client Front Office traders, Risk Management executives, and internal/external AI/Data engineering teams to implement and refine risk controls.
• Regulatory & Industry Alignment: Stay abreast of industry trends, regulatory changes (e.g., FRTB), and emerging AI standards to ensure all deployed models are compliant, explainable (XAI), and robust.
• Business Development & Thought Leadership: Contribute to business development by showcasing live demos, writing technical whitepapers on AI in Risk, and pitching innovative AI consulting solutions to senior client stakeholders.
• Team Mentorship: Mentor and coach junior consultants and engineers, fostering a culture of continuous learning across quantitative finance and modern software engineering.

Qualifications & Experience

Education & Experience:

• A bachelor’s or master’s degree in a highly quantitative field: Computer Science, Financial Engineering, Data Science, Mathematics, or Physics. A professional qualification such as CFA, FRM, or CQF is highly desirable.
• 6+ years of relevant experience spanning quantitative risk management, financial engineering, or machine learning engineering within global investment banks, top-tier securities houses, or leading consulting firms.

Technical Skills (Core FDE Requirements):

• Programming & Frameworks: Exceptional proficiency in Python and standard machine learning libraries (scikit-learn, PyTorch, TensorFlow). Strong SQL and database management skills are required.
• Generative AI & LLMs: Hands-on experience with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG) frameworks (e.g., LangChain, LlamaIndex), and vector databases.
• Data & MLOps: Experience with data pipelines (ETL), cloud platforms (AWS, Azure, or GCP), and DevOps/MLOps practices (Git, Docker, CI/CD) for deploying models in secure enterprise environments.

Risk Domain Knowledge:

• Strong understanding of Market Risk and Traded Risk frameworks, including VaR, Expected Shortfall (ES), Stress Testing, Sensitivity Analysis, and regulatory standards (e.g., FRTB).
• Solid knowledge of financial products (FICC, equities, derivatives, complex structured products) and related pricing/valuation methodologies.
• Exposure to Counterparty Credit Risk, XVA, Liquidity Risk, or ALM/IRRBB is a significant plus.

Consulting & Leadership Skills:

• Proven experience in managing complex technical projects with multiple senior stakeholders.
• Excellent problem-solving skills, with a track record of transforming ambiguous business problems into structured technical solutions.
• Superb communication and presentation skills, with the ability to explain complex AI/ML concepts to non-technical, C-suite executives.
• Fluency in English and Mandarin is essential for client engagement in Hong Kong and the wider Asia-Pacific region.

Please see job role.

Join us as an Quantitative Analytics Market Risk Modeler at Barclays Quantitative Analytics Team where you’ll spearhead the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology.

You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets.

To be successful as an Quantitative Analytics Market Risk Modeler you should have experience with:

• You must have knowledge of the following in FRTB, VaR, Expected Shortfall (ES), BASEL, Monte Carlo Simulation, Stress Testing, Exposure Modeling, CVA, Pricing Models, Desk Quants and Strategists, Black-Scholes, Economic Risk Capital, Incremental Risk Charge (IRC), Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23
• Hands on coding experience (as a full-stack developer / agile developer etc.
• Preferable language is Python, C/C++ etc)
• Hand on experience in Model Development and/or Model Validation (core development experience preferred).

Desired Qualification ;

• Advanced Technical Degree (Master’s / PhD / similar or equivalents) – Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics
• Certification – GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming

This role is based out of Mumbai.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

We’re Hiring: Model Development – Market Risk & Counterparty Credit Risk | Bangalore

A leading global financial group’s Global Capability Centre in Bengaluru is expanding its Risk Analytics function, and we’re hiring for two quantitative model development roles, both reporting to the Head of Model and EUCC Risk Management.

1️⃣ Model Development – Market Risk Own and enhance market risk models, run validation tests on model assumptions and implementation, and support VaR/IRC/RNIV and stress testing frameworks across the banking and securities businesses.

2️⃣ Model Development – Counterparty Credit Risk Join the Risk Analytics Group’s Counterparty Exposure Metrics team, building and maintaining PFE, SIMM, and xVA models across Rates, FX, Credit, Equity and Bond Spreads.

What we’re looking for (both roles): ✅ 4+ years in quantitative analytics, market/counterparty risk, model development or model validation within a financial institution ✅ Master’s degree or higher in Mathematics, Statistics, Engineering, CS, Physics, Quantitative Finance or related field ✅ Strong Python, R, Excel & VBA skills ✅ Sound understanding of derivatives pricing and quantitative modelling ✅ Bonus: FRM/CQF/CFA, stochastic calculus, C#/C++, Monte Carlo simulation experience

📍 Location: Bangalore

Interested or know someone who’d be a great fit? Drop a comment or send your CV to mathangi@transprofile.com

🔍 We’re Hiring | Model Validation — AVP/VP Level | Bengaluru & Mumbai
Trans-Management Consultants is partnering with a leading global financial institution to hire across three exciting Model Validation openings in Bengaluru and Mumbai.
We are hiring for three specialist roles:

1️⃣ Derivative Pricing Model Validation — AVP/VP
2️⃣ Market Risk Model Validation — AVP/VP
3️⃣ Counterparty Credit Risk (CCR) Model Validation — AVP/VP

What you will do:
✅ Independently validate quantitative models used for trading, risk management, and capital purposes
✅ Conduct end-to-end validation — methodology review, calibration, implementation, and numerical robustness
✅ Design and execute independent testing — sensitivity analysis, stress testing, backtesting, and benchmarking
✅ Engage with model developers, front office, and risk teams to challenge methodologies and drive remediation
✅ Prepare validation reports for senior management, model risk committees, auditors, and regulators
✅ Ensure compliance with Americas MRM policies and U.S. regulatory expectations — SR 11-7, OCC

What we are looking for:

Role 1 — Derivative Pricing Model Validation:
🔹 Experience validating pricing models across Interest Rates, Credit, Equities, or FX
🔹 Stochastic calculus — non-negotiable
🔹 Named model experience — Heston, SABR, HJM, Hull-White, Black-Scholes, Local Volatility
🔹 1–10 years of experience

Role 2 — Market Risk Model Validation:
🔹 Experience validating VaR, Expected Shortfall, or FRTB models
🔹 Backtesting, sensitivity analysis, P&L attribution
🔹 Basel 2.5, FRTB-SA or FRTB-IMA exposure
🔹 Up to 6 years of experience

Role 3 — CCR Model Validation:
🔹 Experience validating XVA, PFE/EPE, CVA, or IMM models
🔹 Stochastic calculus — non-negotiable
🔹 Monte Carlo simulation for counterparty exposure
🔹 1–10 years of experience

Across all three roles you must have:
🔸 Strong quantitative finance and advanced mathematics foundation
🔸 Proficiency in Python, C++, MATLAB, or R
🔸 Familiarity with SR 11-7, OCC 2011-12, or Basel regulatory standards
🔸 Advanced degree — Master’s or PhD in Mathematics, Statistics, Physics, Quantitative Finance, or Engineering
🔸 Experience writing validation reports and engaging with senior stakeholders
🔸 Holders of CQF (Certificate in Quantitative Finance) will be preferred

Why this opportunity:
⭐ Part of a significant GCC growth phase — real scope to build and shape the validation function
⭐ Americas MRM exposure — SR 11-7 and OCC regulatory framework experience
⭐ Pure independent validation role — dedicated Model Risk Management function
⭐ Strong global financial brand with presence across 40+ markets

Location: Bengaluru | Mumbai
Level: AVP to VP
Type: Full-time | Permanent
To apply or know more:
📧 mathangi@transprofile.com

Goldman Sachs is seeking an accomplished Senior Vice President to lead Post-Trade Operations for Equity Derivatives and Structured Products in New York. In this senior leadership position, you will oversee critical operational functions supporting our Flow Derivatives, Strategic Derivatives, and Exotics/Structured Products trading desks.

This is a high-impact role responsible for running three core teams while driving transformation initiatives to build operational scale, strengthen risk management, and modernize processes through technology and automation.

Key Responsibilities

• Lead and manage the Equity Derivatives Middle Office, Exotic Trade Review, and Securitized Products Servicing teams, ensuring accurate, timely, and controlled processing across the trade lifecycle.
• Oversee trade capture, validation, confirmation, settlement, and lifecycle event management for flow and exotic equity derivatives and structured/securitized products.
• Provide front-to-back trade support for structured equity derivatives, acting as a key liaison between trading desks and operational functions to resolve trade discrepancies and booking issues.
• Serve as a product specialist and subject-matter expert, supporting query resolution on complex products for internal stakeholders and clients.
• Validate economic terms of new trades, ensuring accurate capture of complex/exotic structures and lifecycle events (e.g., fixings, knock-ins/outs, barriers, corporate actions).
• Perform daily P&L and position reconciliation, investigating and resolving breaks between front-office, middle-office, and back-office systems.
• Strengthen the risk and control environment, proactively identifying operational and market-risk-adjacent exposures across supported products.
• Partner with Market Risk and Finance to support valuation reviews, exposure monitoring, and the operational dimensions of risk reporting.
• Define and track KPIs/KRIs, reporting on operational performance and risk metrics to senior management.
• Support a fast-paced, volatility-and-derivatives-focused environment, balancing rigorous controls with the agility required to support active trading strategies.
• Drive scalable processes that accommodate high-volume, complex derivative flows.
• Drive operational transformation, identifying opportunities to eliminate manual processes and implement automation and AI-enabled solutions.
• Partner closely with Sales, Trading, Structuring, Origination, Legal, and other Operations functions to support business growth.
• Develop talent, building a high-performing, future-ready team and fostering a culture of continuous improvement.

Required

Qualifications & Experience

• 10+ years of experience in post-trade Operations, Middle Office, Trade Support, or a related function within a sell-side or buy-side institution.
• Deep subject-matter expertise in equity derivatives (flow and exotic) and structured/securitized products, including trade lifecycle, valuation, and lifecycle event management.
• Strong understanding of P&L, reconciliation, and trade booking across front-to-back systems.
• Proven leadership of operational teams with a track record of delivering transformation at scale.
• Strong product knowledge enabling credible engagement with Sales, Trading, Structuring, Origination, and Legal.
• Excellent communication, stakeholder management, and influencing skills.

Preferred / Strong Plus

• Ability to code (e.g., Python, SQL) and hands-on experience leveraging AI tools to drive process automation and analytics.
• Exposure to market risk concepts (Greeks, sensitivities, VaR) and valuation methodologies for complex derivatives.
• Professional designation such as CFA, FRM, or CQF.
• Experience implementing target operating models, vendor platforms, or workflow automation in a derivatives Operations context.

Individual contributing to the management and execution of derivative strategies and solutions-driven investment portfolios across the Group’s insurance balance sheets. Working within the Balance Sheet Solutions & Derivatives team, the role supports activities across risk management, regulatory compliance, and balance sheet optimisation, helping to deliver effective hedging and investment solutions.

Working closely with colleagues across risk, investments, actuarial, finance, and operations, the role assists in translating agreed strategies into execution. Responsibilities include supporting trade execution, monitoring derivative and collateral positions, coordinating with internal stakeholders and external counterparties, and contributing to reporting, governance, and operational processes. The role provides an opportunity to develop expertise across the full derivatives lifecycle while helping to maintain strong risk management, control standards, and operational efficiency.

Key Responsibilities

• Support the management of the Group’s derivative portfolio across cleared and uncleared instruments, including hedging, repos, funding solutions, repacks, and structured transactions, ensuring adherence to relevant regulatory requirements.
• Assist in the implementation and execution of derivative strategies aligned with balance sheet objectives, risk appetite, and regulatory constraints, including solutions supporting M&A and reinsurance transactions.
• Support the end-to-end trade lifecycle, including pre-trade analysis, execution, confirmation, validation, and ongoing monitoring of derivative exposures, market developments, and hedge effectiveness.
• Assist in the management of collateral and liquidity activities across CSAs, including margining, reconciliation, eligibility monitoring, governance, and process improvements.
• Prepare and maintain risk, liquidity, collateral, and performance reporting, providing accurate and timely analysis to support decision-making and stakeholder requirements.
• Build effective relationships with internal stakeholders across risk, investments, actuarial, finance, legal, and operations, as well as external counterparties including banks, custodians, clearing houses, and execution providers.
• Contribute to the enhancement of execution processes, controls, operating models, systems, and provider oversight to improve efficiency, scalability, and governance.
• Work closely with the Derivative Oversight Manager and wider team to ensure accurate reporting, strong governance, and compliance with derivative and insurance regulatory frameworks.

Experience & Qualifications

• Relevant experience in derivatives within insurance, asset management, investment banking, or a related financial services environment, with exposure to the execution and management of derivative and structured strategies (typically 4–8 years).
• Good technical understanding of derivative instruments, collateral management, and associated market practices.
• Experience supporting derivative portfolios, including trade execution, lifecycle management, collateral processes, and related regulatory or reporting requirements.
• Bachelor’s degree in a quantitative or analytical discipline (e.g., Mathematics, Physics, Engineering, Computer Science, or similar). Advanced degrees are advantageous.
• Strong analytical and numerical skills, including advanced Excel; experience with Python, SQL, C#, or similar tools is beneficial.
• Proficiency with market data platforms (e.g. Bloomberg) and ability to source, interpret, and validate market and security data
• Good understanding of insurance balance sheets and ALM considerations, with working knowledge of regulatory and accounting frameworks; multi-jurisdictional experience advantageous
• Strong problem-solving, organisational, and communication skills, with the ability to manage deliverables end-to-end and effectively engage and influence stakeholders
• Experience improving processes, controls, and analytics through automation and standardisation; familiarity with derivative management systems advantageous
• Professional qualifications (e.g. CFA, CQF, FRM, Actuarial) or progress toward them desirable