Quantitative Strategist

A leading UK insurer is recruiting a Quant Strategist to join its ALM Securities & Derivatives function, sitting at the core of the firm’s investment and balance-sheet management capability.

We’re looking for a quantitatively strong investment professional with experience in asset-liability management, derivatives and balance-sheet modelling, who is motivated by complex insurance investment problems and the challenge of translating sophisticated models into practical decision-making tools.

Do you enjoy building and enhancing ALM models, analysing Solvency II balance-sheet impacts, and partnering closely with investment teams to support better hedging and portfolio decisions?

Are you looking for a role that combines deep technical modelling, platform development and close collaboration with front-office investors, within a purpose-driven insurance environment?

If so, this could be a strong fit.

The Organisation

Our client provides secure retirement incomes through disciplined risk management and excellence in asset and liability management. Its purpose is to pay the pensions of current and future policyholders, supported by a culture built around resilience, adaptability and long-term commitment.

The ALM Securities & Derivatives function sits at the heart of the business, optimising the interaction between assets and liabilities in line with the firm’s risk appetite. The Quant Strategist team works closely with Investment, Actuarial, Risk and Technology teams to develop the analytical frameworks, hedging tools and portfolio optimisation capabilities that underpin investment decisions.

In this role, you will:

  • Maintain and enhance the ALM quantitative platform, ensuring models, libraries and analytics remain accurate, robust and well-documented.
  • Design and deliver new modelling features and analytical capabilities aligned to investment initiatives, regulatory requirements and business needs.
  • Develop model components for handover into production, working closely with Technology to ensure clean code, clear specifications and appropriate testing.
  • Support BAU ALM analytics, including running models, troubleshooting issues and explaining results to internal stakeholders.
  • Analyse and approximate Solvency II balance-sheet impacts under different market and portfolio scenarios.
  • Collaborate with Investment, ALM, Actuarial and Risk teams to refine assumptions, validate outputs and ensure consistency across frameworks.
  • Contribute to the continuous improvement of model governance, coding standards, documentation and version control.
  • Undertake research to enhance modelling methodologies, improving efficiency and analytical insight.
  • Develop deep technical expertise in key ALM modules, progressing towards subject-matter expertise over time.

Who we’re looking for:

  • Strong academic background in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering).
  • Experience contributing to ALM, investment, actuarial or risk models, including development, calibration or platform enhancement.
  • Solid understanding of:
  • Asset-liability management and LDI principles
  • Scenario generation, term-structure modelling and cash-flow projection techniques
  • Model governance and validation within a regulated environment
  • Programming experience in Python, MATLAB or similar, with the ability to write clear, maintainable and well-tested code.
  • Experience working with SQL or large financial datasets for data validation and analytical integration.
  • Comfortable explaining technical results to non-technical stakeholders and translating analytics into practical investment insight.
  • Professional qualifications (CFA, FIA, CQF, PhD) are advantageous but not essential.

CFO Credit Risk Senior Manager – ICH Europe

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 a Risk Executive 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 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.

HERE’S WHAT YOU’LL NEED:

Minimum 10 years of Credit Risk management experience. Candidates should demonstrate knowledge in one or more of the following aspects:

  • People leadership and project management skills
  • 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 schemes
  • 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.

Manager – Market Risk (Quant)

Our client is looking for a Quantitative Analyst to join the Market Risk and Derivatives Pricing team within their London office with hybrid working. You would be leading a series of regulatory and risk modelling projects including Derivative Pricing, Market Risk and CVA. To be successful in the role you will have a strong quantitative academic and technical background, a creative approach to work and effective communication skills.

You will use your quantitative modelling skills on a range of projects;

  • Model validation and testing of derivative pricing models covering equity, rates, FX, commodities asset classes; working with Front Office quants to create testing plan
  • Model build and validation of VAR, stressed VAR and IRC
  • FRTB and IBOR modelling

Qualifications and Experience Required:

  • Strong quantitative academic background (such as Computational Finance, Mathematics, Engineering, Statistics, or Physics), a PhD or Masters preferred
  • Professional Qualification e.g. CQF / CFA/ FRM / PRM is advantageous
  • Modelling background, including experience in model development and model validation of derivative products pricing, market risk and CVA models
  • Significant experience in the application and justification of statistical and numerical techniques and principles of the theory of probability
  • Strong experience in any of the following software development environments: Python/Java /C++ / SQL/R/.NET
  • Good understanding of Derivative Pricing, Market and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements
  • Experience in FRTB or IBOR transition would be preferred
  • Confident and credible communicator with good technical knowledge and commercial understanding

FIN_Global Middle Office_Executive Director

Role & Responsibilities:
    • Supporting the overall management and development of the EMEA Valuations Control team and working across regions to drive consistency
    • Manage the team performing IPV for full spectrum of Vanilla and Exotic Credit Products across all businesses, including the review of the marking of CVA exposures.
    • Determining methodology for and computation of relevant valuation adjustments
    • Responsible for management reporting of IPV, including detailed analysis of desk marking trends
    • Extensive degree of Front Office Trading and Quants, Product Control, MVG, Finance and senior management interaction
    • Opining on revenue recognition and reserving for new product / transaction approvals
    • Training and supervising Mumbai offshore centre to ensure appropriate, and accurate testing
    • Leading Valuation Control s response to regulatory requirements / requests (e.g. Prudent Valuation, Trading Wind Down)
    • Regular internal IPV and reserves reporting and audit / SOX related reporting
    • Supporting the resolution of collateral disputes on credit products
    • Reviewing, designing and enhancing controls, including an appreciation of digital tools and how this can be applied in a controlled and effective manner
    • Responsibility for Fair Value Hierarchy classification for Credit products and Significant Unobservable disclosures under FAS157
    • Computation of quarterly Prudent Valuation Adjustments and enhancing methodologies over time
Skills, experience, qualifications and knowledge required:
    • Numerical degree with history of strong academic performance required.
    • Additional professional qualification from top university or institution preferable (ACA/CIMA, CQF, CFA, FRM, PRMIA).
    • Strong IPV experience and product knowledge
    • Excellent written and oral communication skills required given the level of exposure to all levels of seniority and experience across businesses and regions.
    • Experience in responding to regulator requests
    • Digital tool awareness

RSK-Risk Methodology Group

Please see job role.

OPS-PM / Change Management

International Change is a cross functional and cross regional team which services transformation and change for the all the Nomura business units globally. The department consists of a fungible pool of resources from different backgrounds who are key drivers of firms’ priority projects and programs. There is a constant effort on investing within the team’s upskilling and upgrading of capabilities.
Within International Change, the Risk Change team is involved in supporting Risk Management and Risk Middle Office teams in implementing various change and regulatory initiatives. Team is responsible for providing consulting, business analysis, testing and project management capabilities on strategic system enhancement/migration projects or regulatory change projects such as BCBS 239, Basel III, FRTB etc.
Role description:
n Business Analyst with 5 to 8 years of relevant experience in the Risk domain, particularly Market Risk. n Working as a business analyst and project manager in Market Risk Change projects in International
Change and work with local and regional stakeholders to deliver on the project book of work.
n Independently manage medium to large projects through the lifecycle and prepare business analysis
documents proficiently (business requirement documents, functional specifications, data matrix, work
flow diagrams etc.)
n Run test management processes for medium to large scale projects (Test Strategy/Approach
documentation, managing User Acceptance Testing, building test plans and test scenarios, building
implementation plans.)
n Ability to plan the project delivery milestones (L0/L1 planning) and prepare project reports (weekly project
update, monthly status update, highlighting risks, issues and their mitigation steps)
n Assist stakeholder businesses with their tactical/strategic solution requirements, services and/or
program.
n Must be able to work with Technology, Risk Management, Risk Middle Office, and Front Office to identify
and maximize opportunities that help in delivery of projects and to improve product, service and program
business processes.
n Must have the ability to work with a team, learn and train people on various subjects, structure the project
governance model and also work together with regional counterparts to devise induction framework for
all the resources entering into the project.

 

Skills, experience, qualifications and knowledge required:
n Strong understanding of capital market products and derivatives across asset classes n Good knowledge of the Market Risk domain with project experience in areas like computation of risk
measures (VaR, IRC, ES etc.), management of risk limits, risk reporting etc.
n Skilled in performing data analysis and understanding data models for computation of risk measures
n Good understanding of the Basel norms, particularly FRTB and Basel 2.5 standards
n Ability to operate in both agile and waterfall style project methodologies and have an understanding of
deliverables required for each methodology
n Attention to detail and high quality standards of documentation, processes and control environment
n Experience in the full E2E systems delivery lifecycle (SDLC)
n Detailed knowledge of all Microsoft Office products, i.e. Word, Excel, Power Point, Project and Visio
n Good educational pedigree and domain certifications (MBA, FRM, CFA, CQF etc.)
n Proficiency in database, virtualization and BI solutions – SQL, Python, Dremio, PowerBI, Alteryx,
Tableau etc.
n Excellent communication, organization, prioritisation and documentation skills
n Flexibility – adapts effectively to changing plans, domains and priorities; Is open and flexible when faced
with changing project constraints
n Deals comfortably with ambiguity – Stays on target to complete goals regardless of obstacles or adverse
circumstances
n Rigorous follow ups through on all commitments to achieve results
n Excellent and demonstrable understanding of “best practice” approaches to functional testing especially User Acceptance Testing.

IFO-Infrastructure Others

International Change is a cross functional and cross regional team which services transformation and change for the all the Nomura business units globally. The department consists of a fungible pool of resources from
different backgrounds who are key drivers of firms’ priority projects and programs. There is a constant effort on investing within the team’s upskilling and upgrading of capabilities. Within International Change, the Risk Change team is involved in supporting Risk Management and Risk Middle Office teams in implementing various change and regulatory initiatives. Team is responsible for providing consulting, business analysis, testing and project management capabilities on strategic system enhancement/migration projects or regulatory change projects such as BCBS 239, Basel III, FRTB etc.
Role description
 Business Analyst with 5 to 8 years of relevant experience in the Risk domain, particularly Market Risk.
 Working as a business analyst and project manager in Market Risk Change projects in International Change and work with local and regional stakeholders to deliver on the project book of work.
 Independently manage medium to large projects through the lifecycle and prepare business analysis documents proficiently (business requirement documents, functional specifications, data matrix, work flow diagrams etc.)
 Run test management processes for medium to large scale projects (Test Strategy/Approach documentation, managing User Acceptance Testing, building test plans and test scenarios, building
implementation plans.)
 Ability to plan the project delivery milestones (L0/L1 planning) and prepare project reports (weekly project update, monthly status update, highlighting risks, issues and their mitigation steps)
 Assist stakeholder businesses with their tactical/strategic solution requirements, services and/or program.
 Must be able to work with Technology, Risk Management, Risk Middle Office, and Front Office to identify and maximize opportunities that help in delivery of projects and to improve product, service and program
business processes.
 Must have the ability to work with a team, learn and train people on various subjects, structure the project governance model and also work together with regional counterparts to devise induction framework for all the resources entering into the project.

 

Skills, experience, qualifications and knowledge required
 Strong understanding of capital market products and derivatives across asset classes
 Good knowledge of the Market Risk domain with project experience in areas like computation of risk
measures (VaR, IRC, ES etc.), management of risk limits, risk reporting etc.
 Skilled in performing data analysis and understanding data models for computation of risk measures
 Good understanding of the Basel norms, particularly FRTB and Basel 2.5 standards
 Ability to operate in both agile and waterfall style project methodologies and have an understanding of
deliverables required for each methodology
 Attention to detail and high quality standards of documentation, processes and control environment
 Experience in the full E2E systems delivery lifecycle (SDLC)
 Detailed knowledge of all Microsoft Office products, i.e. Word, Excel, Power Point, Project and Visio
 Good educational pedigree and domain certifications (MBA, FRM, CFA, CQF etc.)
 Proficiency in database, virtualization and BI solutions – SQL, Python, Dremio, PowerBI, Alteryx,
Tableau etc.
 Excellent communication, organization, prioritisation and documentation skills
 Flexibility – adapts effectively to changing plans, domains and priorities; Is open and flexible when faced
with changing project constraints
 Deals comfortably with ambiguity – Stays on target to complete goals regardless of obstacles or adverse
circumstances
 Rigorous follow ups through on all commitments to achieve results
 Excellent and demonstrable understanding of “best practice” approaches to functional testing especially User Acceptance Testing.

Credit Risk Modeling (Mumbai)

Role & responsibilities

  • Develop and validate risk models to support diverse analytical initiatives for banking clients.
  • Model key risk estimates, including PD, LGD, and EAD, within AIRB and IFRS9 frameworks.
  • Engage in the end-to-end lifecycle of model development, validation, and re-development.
  • Review and refine Macro-Economic Models and RAROC (Risk Adjusted Return on Capital) calculators.
  • Execute Model Risk Management (MRM) activities to ensure compliance and accuracy.
  • Draft and present periodic internal and regulatory reports on various risk metrics.
  • Collaborate with team members to set engagement goals and foster innovation in problem-solving.
  • Ensure the ERM framework remains aligned with long-term bank strategies and international regulatory shifts.

 

Preferred candidate profile

  • Education: Postgraduate degree; professional certifications (CFA, FRM, or CQF) are highly preferred.
  • Technical Expertise: Proficiency in SAS, R, and Python is essential, alongside advanced MS Excel and PowerPoint skills.
  • Regulatory Knowledge: Deep understanding of IFRS9, Basel II/III/IV, ICAAP, and stress testing; experience with Indian and Middle Eastern regulators (RBI, CBUAE, SAMA) is a plus.
  • Experience: Proven track record in Credit Risk Analytics (Retail or Corporate) and statistical modeling (Logistic/Probit regressions).
  • Soft Skills: Exceptional communication, negotiation, and project management skills with the ability to work under pressure.
  • Location & Travel: Based in Mumbai, but must be willing to undertake significant/long-term travel.

Lead Associate- model Validation/ derivative pricing

Role & responsibilities

  • Identify and evaluates the conceptual soundness of the pricing ( Stochastic Fixed income and equity models) and market regulatory models (FRTB, VAR,IRC,CRM) along with assumptions and limitations
  • Evaluate the implementation of the model by independent replication of model using SG pricing library.
  • Assess the performance of the model by independently performing the calibration tests, degeneracy tests in case of exotic payoffs, benchmarking and various sensitivity tests covering stress scenarios.
  • Review the quality of the input data by checking arbitrage free conditions and by liaising with various stakeholders such as IPV and data control teams to ensure data adequacy
  • Evaluate the model usage by verifying the consistency and effectiveness of the risk management system in which the models are used and the steering decisions based on this use,
  • Formulate recommendations, which contributes to the improvement of the model as per SR-11-7 standards
  • Prepare high quality audit deliverables including working papers and finding sheets.
  • Write formal & clear reports to communicate audit results to management
  • Assists audit management in preparation & execution of the audit plan

 

Preferred candidate profile

  • Master’s or Ph.D. in a quantitative discipline such as mathematics, statistics, Finance, or physics
  • Having 6+ years of experience in Pricing and Regulatory market model development or Validation
  • Having excellent mathematical skills including stochastic calculus, numerical methods (PDE and Montecarlo)
  • Knowledge of OTC derivative products(including exotics and Hybrids) across multiple asset classes (Equity ,IR and FX)
  • Having CQF certification is an added advantage
  • Knowledge specific to Market regulations like FRTB, ECB and CFTC are an added advantage

Risk Modelers Professional

Provide analytical support and manage projects to deliver retail and commercial credit risk and decision models to support risk management and decision making in LBG.
The following accountability apply to the most roles and decision science at this level but there may be some variation depending on specific role in the team:
Good-to-Have
Expertise in PD, LGD, EAD and BAU models
Certified CQF and CIF
Responsibility of / Expectations from the Role
Very good knowledge of statistical techniques such as clustering, segmentation, ranking, correlation, or regression etc.
Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools in day-to-day operations.
Ability to recognizing information and patterns in data that are not obvious, and focusing analytical efforts in pursuit of explanations, isolations of cause and effect.
Accountabilities:
  • Provide analytical support for different types of modelling tasks and projects, including model developments.
  • Work independently on variety of analytical tasks and projects during the production of model monitoring report, validations, and collaborations.
  • Work on projects to support initiative across decision science.
  • Work and build wrap rapport with business contacts, communicating analysis clearly and delivering out to agreed plans and time scales.
  • Take ownership and provides technical leadership to more junior analysts in the team.
  • Support model implementation and testing.
  • Comply with policies and apply best practises to all aspects of work.
  • Deputise for manager when required.
  • Act in line with the groups value and behaviours.
Skills, knowledge, and experience
  • Degree with quantitative content or equal skills derived from experience.
  • Experience extracting, manipulating, and drawing insight from the data
  • Experience of working on design, development, and validation of credit risk models
  • excel SAS, SQL, or similar experience
  • demonstrates initiative and problem-solving skills
  • good organisational and project management skills and ability to deliver tasks and project to deadlines
  • good written and verbal communication and presentation skills and ability to build report with the stakeholders to suggest the solution and communicate the impacts
  • good knowledge of the fundamental principles of banking credit Risk management and economics
  • technical leadership and coaching
  • practical application of statistical modelling techniques and technical methods