Employment Type: Full-time

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyse and monitor risks and lead key regulatory initiatives.

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

What You’ll Do In The Role

• • Provide independent review and validation compliant with MRM policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of model methodology, model limitations, data quality, and on-going monitoring of model performance
  • Take initiatives and responsibility of end-to-end delivery of a stream of Model Validation and related Risk Management deliverables
  • Write Model Review findings in validation documents that could be used for presentations both internally (model and tool developers, business unit managers, Audit, various global Committees) as well as externally (Regulators)
  • Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management
  • Represent MRM team in interactions with regulatory and audit agencies as and when required

  Follow financial markets & business trends on a frequent basis to enhance the quality of Model and Tool Validation and related Risk Management deliverables. Qualifications

What You’ll Bring To The Role

• Masters or Doctorate degree in a quantitative discipline such as Statistics, Mathematics, Physics, Computer Science or Engineering is essential
• Experience in a Quant role in validation of Models, in developments of Models or in a technical role in Financial institutions e.g. Developer, is essential
• Strong written & verbal communication skills including debating different viewpoints and making formal presentations of complex topics to a wider audience is preferred
• 5+ years of relevant work experience in a Model Validation role in a bank or financial institution
• Proficient programmer in Python ; knowledge of other programming languages like R, Scala, MATLAB etc. is preferred
• Willingness to learn new and complex topics and adapt oneself (continuous learning) is preferred
• Working knowledge of statistical techniques, quantitative finance and programming is essential; good understanding of various complex financial instruments is preferred
• Knowledge of popular machine learning techniques is preferred
• Relevant professional certifications like CQF, CFA or progress made towards it are preferred

Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative, and market-oriented knowledge and skills is essential

 

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

Quantitative & Business Solutions (QBS) is a specialized unit within BBVA CIB – Global Markets, dedicated to providing investment banking solutions to clients worldwide. Our team operates across multiple geographies and specializes in various asset classes.

We seek experienced professionals with a strong mathematical and technological background to join our team.

About you:

• You have a technical or scientific background and are seeking a highly technical role, constantly striving for innovation and new challenges.
• You demonstrate a high level of commitment to your work and objectives.
• You are eager to contribute to the decision-making process of projects, sharing your perspective with other specialists. Strong communication skills are essential.
• You thrive in solving complex technical problems in a fast-paced, dynamic environment.
• You embody BBVA’s purpose and values in your professional approach.

 

About the job:

Position Specifications:

Corporate Title: Associate (PM)

Experience: 5- 8 years

Qualification: MBA, FRM, CFA, CQF etc

Role & Responsibilities:

• 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 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, workflow 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 work together with regional counterparts to devise induction framework for all the resources entering into the project.

Mind Set:

• 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 understand 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.

• Excellent communication, organization, prioritisation and documentation skills
• Deals comfortably with ambiguity – Stays on target to complete goals regardless of obstacles or adverse circumstances
• Ability to identify any inefficiencies in processes and suggest ideas for automation and/or operating model changes.
• Proficiency in database, virtualization and BI solutions – SQL, Python, Dremio, PowerBI, Alteryx, Tableau etc.
• Flexibility – adapts effectively to changing plans, domains and priorities; Is open and flexible when faced with changing project constraints.
• Excellent and demonstrable understanding of “best practice” approaches to functional testing especially User Acceptance Testing.

Are you looking for a career move that will place you in a global financial organization? Then bring your skills and experience in analytics and explanatory documentation for regulatory capital planning and stress testing such as ICAAP or EBA Stress Test to our Enterprise Risk Analytics (ERA) organisation within Risk, based in Warsaw.

The successful candidate will join the Stress Testing team which is part of the ERA organisation within Risk. ERA oversees Stress Testing, scenario development, risk capital modelling and reporting for all risk categories across the Enterprise: including credit, market, treasury and operational risks. ERA’s responsibilities are fundamental to the Risk Management organization and all risk activities throughout Citi:

What you’ll do:

• Support the ongoing delivery of ICAAP and regulatory stress testing initiatives (e.g. EBA Stress Test) for Citibank Europe PLC.
• Operate with wider entity and risk management functions for the delivery of stress losses and economic capital, focusing on market, treasury, counterparty credit and operational risks.
• Work with project work streams spanning a wide range of activities including scenario design, stress loss calculations, economic capital and related governance.
• Provide analytical support to risk specialists in developing stress testing, including further integration of stress testing in Risk Appetite and decision making.
• Support the Regional Stress Testing team in evaluating Legal Vehicle Stress Testing risk controls and frameworks.
• Assist with information requests from Central Bank of Ireland, European Central Bank, External Auditors and Internal Audit.
• Engage in continuous process improvement around existing stress testing capabilities.

What we’ll need from you:

• Solid experience in financial services sector, in roles requiring superior problem solving and analytical capabilities across multiple risk stripes and in particular market/treasury risks.
• Experience in analytics and explanatory documentation for regulatory capital planning and stress testing such as ICAAP or EBA Stress Test.
• Knowledge of the regulatory landscape in the EU.
• Experience in mathematical modelling and understanding of methodologies used across different risk types in ICAAP and/or EBA Stress Testing.
• Demonstrable interest in applying sophisticated mathematical/analytical techniques to solve real-world problems, especially in banking, finance or risk management.
• Excellent written and verbal communication skills, with ability to synthesize complex technical information and explain it clearly.
• Graduate degree and strong academic record in quantitative discipline such as Finance, Econometrics, Mathematics, Physics, Data Science etc. is required. Master or higher degrees are advantageous, as is exceptional academic record.
• Other qualifications such as Financial Risk Manager (FRM), Chartered Financial Analysts (CFA), Certificate in Quantitative Finance (CQF), etc. are advantageous.
• Fluency in speaking, reading and writing English.
• Highly motivated, with ability to work both independently and collaboratively. Logical and thoughtful approach to work, with ability to perform well under pressure to meet tight deadlines.
• Gives careful attention to detail, with capability to deliver high quality results.
• Potential to build trusted relationships confidently at all levels.

As part of HSBC Group’s International Wealth and Premier Banking (IWPB), the Credit Risk Model Developer role will be supporting our ambition to be the leading international wealth manager. This role is positioned within Wealth & Premier Solutions (WPS), responsible for delivering world-class products, capabilities, services, and exceptional client experiences across the wealth continuum. The role holder will engage with internal stakeholders across all management levels and must demonstrate strong professionalism and excellent communication skills. The role holder will work in a capacity of quantitative credit model specialist to develop business solutions for end-to-end management of Investment, Wealth and Lending products. This includes strategic initiatives, governance requirements, and issue resolution for credit model categories within WPS.

Possibility work from Krakow or Warsaw office.

What you’ll be doing:

• Conduct in-depth research to develop quantitative models that support credit risk for lending products, portfolio management, stress testing, investment strategies and risk management, enhance future state methodologies for credit models as an expert in credit risk,
• Manage and lead core business activities across modelling, relating to development, implementation and maintenance of credit models, including Probability of default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) models used for the IRB-A purpose, the Point in Time (PiT) models for IFRS9 Expected Credit loss (ECL) purpose, and Stress Testing models,
• Model maintenance activities including monitoring and periodic reviews, supporting queries from Second Line of Defence, Audit and regulators, and model implementation related activities including deployment post model changes and execution of models for stress testing,
• Work on WPS model related standards, policies, processes, methodologies and governance,
• Support strategic improvements and improve efficiency by reducing manual processes through automation,
• Provide leadership by interpreting regulatory requirements for identifying and measuring Model Risks across WPS,
• Work collaboratively with all Stakeholders (Compliance, Legal, Risk, Chief Control Office, Senior Management and Group Procurement),
• Ensure Basel III reforms are implemented effectively and in full compliance across the WPS portfolio(s).

You’re a great candidate if you have these: (job requirements)

• Strong and proven leadership skills to develop and nurture stakeholder relationships,
• Excellent relationship management and diplomacy skills, ability to communicate, influence and negotiate effectively, excellent documentation and verbal communication and presentation skills,
• Understanding of HSBC’s business dynamics and portfolio management techniques,
• Extensive experience in the financial industry, specializing in credit risk modelling and regulatory compliance (including Basel III Reform package),
• Experience in wholesale or high-value retail portfolios preferred,
• Experience in portfolio management and managing model risk including regulatory reporting preferred,
• Proficiency in programming languages such as Python, SQL, R and SAS,
• Advanced degree and relevant certifications (CFA, FRM, CQF) preferred.

Controllership is an expert function, that exists to deliver trust in the numbers that it is the custodian of, providing both insight and running controls and processes, enabling the business to grow and succeed safely. Controllership instils credibility with our regulators and drives understanding of HSBC’s businesses. The Product Control (PC) function is an integral part of Controllership and provides independent control and assurance, product expertise, commercial insight and guidance to all businesses involved in trading activities throughout HSBC. We also partner with the business to achieve sustainable financial performance. The Valuations, Analytics & Reporting team in Product Control is a global team responsible for all aspects of the calculation of Fair Value for traded instruments in Markets and Securities Services (MSS), Markets Treasury (MKTY) and more widely across HSBC.

In This Role, You Will

• Oversee preparation of IPV (Independent Price Verification), FVA (Fair Value Adjustment), PVA (Prudent Valuation) and FVL (Fair Value Levelling).
• Working on improving controls and implementing valuation methodologies.
• Analyzing Valuations model restrictions and recommendations. Valuation controllers are expected to work across regions with multiple stakeholders both within Product Control, Front Office and other business stake holders in Hong Kong, Paris, Krakow, London and New York.
• Coordinating preparation of appropriate Management Information for various committees.
• Delivering a single view of the P&L and Balance Sheet through cooperation with Business Financial Control and Core Product Control.
• Building relationships with key stakeholders including other Product Control functions, Quantitative Analytics, Front Office, Market Risk Management, IT and Operations. Efficient co-ordination with the Trading Desks and other Business stake holders.
• Reengineering and streamlining of processes to achieve economy of scale and increased service quality. Liaising with the Analytics and IT teams for development of automated implementations and solutions.

To Be Successful You Will

• A professional Finance qualification (CFA, FRM, CQF, CA) is preferred.
• 5+ years of relevant post-qualification experience in either Product Control, Valuation Control.
• Good understanding of vanilla and complex derivative products, market risks and pricing parameters. Strong quantitative and qualitative analytical skills
• Strong IT skills required including experience with Excel, VBA, SQL, Microsoft Access.
• Excellent written and oral communication skills.
• Sound judgment and problem-solving skills, ability to think laterally.
• Great interpersonal skills, including the ability to articulate key quantitative issues clearly.
• Good appreciation of regulatory guidelines, rules and requirements.

In this role, you’ll make an impact in the following ways:

• Serves as a senior individual contributor within the Risk & Regulatory Compliance function, specializing in Model Risk Management. Applies advanced, multidisciplinary expertise in financial markets, applied mathematics, statistics, econometrics and computer science to identify, measure and manage risks arising from the development, implementation and use of complex models across BNY. Plays a key role in protecting the firm from potential monetary loss, reputational damage and regulatory censure by independently challenging model design, performance and governance.
• This role advances BNY’s strategic pillars by strengthening the resilience and integrity of core risk and decision‑making frameworks that underpin client offerings and critical services. It reinforces our Principles by fostering a strong risk culture, advocating for transparency in model assumptions and limitations, and promoting accountable decision‑making grounded in rigorous quantitative analysis and sound governance. Operating within the Model Risk Management job family, the role partners closely with model owners, developers, users and risk stakeholders to ensure models are conceptually sound, empirically robust, properly controlled and used within approved risk appetite.
• Lead independent model validation and ongoing performance review of complex and/or high‑impact models (e.g., pricing, risk, capital, liquidity, credit, market, treasury, stress testing) by applying advanced quantitative methodologies, back‑testing, benchmarking and sensitivity/robustness analysis to assess conceptual soundness and model performance.
• Identify, quantify and clearly articulate model risk, limitations and weaknesses by critically reviewing model design, assumptions, data, implementation and use, and documenting findings, recommendations and conditions of use in high‑quality validation reports that withstand internal and regulatory scrutiny.
• Provide effective second‑line challenge to model developers, model owners and model users by engaging in structured technical dialogue, reviewing remediation plans, and evaluating proposed model changes or new models, ensuring alignment with BNY’s model risk management framework, policies and regulatory expectations.
• Strengthen model governance and control frameworks by contributing to model inventory accuracy, risk tiering, periodic review cycles, and model risk appetite metrics, while supporting the design and implementation of consistent standards, procedures, and templates across the Model Risk Management function.
• Support regulatory and internal audit engagements related to model risk by preparing clear, evidence‑based materials, responding to technical inquiries, and addressing issues in a timely and transparent manner, thereby reinforcing trust in BNY’s risk management capabilities.
• Mentor and provide technical guidance to less experienced team members by reviewing their analytical work, sharing best practices, and promoting a culture of rigorous quantitative discipline, collaboration and continuous improvement within the Model Risk Management community.
• This role will be focused on GenAI and Wealth Models.

To be successful in this role, we’re seeking the following:

• Advanced degree (Master’s or PhD preferred) in a quantitative discipline such as Mathematics, Statistics, Econometrics, Finance/Financial Engineering, Physics, Computer Science, or related field.
• Strong grounding in probability theory, statistical inference, time‑series analysis, and/or numerical methods.
• Professional certifications in risk management or quantitative finance (e.g., FRM, PRM, CQF) beneficial but not required.
• Typically 5-8 years of experience
• Advanced quantitative and analytical skills, including hands‑on experience with model development or validation, and proficiency in relevant programming/analytics tools (e.g., Python, R, MATLAB, SAS, or similar).
• Deep understanding of financial products, risk measurement concepts and regulatory expectations related to model risk, with the ability to translate complex technical issues into clear risk narratives and recommendations.
• Strong communication and stakeholder‑management skills, with the ability to provide credible challenge, influence decision‑makers, and produce high‑quality written documentation suitable for senior management, regulators and auditors.

We are expanding our team and looking for dedicated, ambitious and collaborative practitioners to join as Assistant Managers within the BCM Specialist Modelling team. The role will focus primarily on supporting Data Assurance engagements for banking and capital markets clients, offering a distinctive career opportunity in a supportive, challenging and high-growth environment.

The successful candidate will deliver data assurance and analytics services within audit and assurance. They will combine strong project delivery capability with hands-on experience in Python, Tableau and data quality testing to anticipate complex business challenges and recommend practical, high-quality solutions.

Responsibilities

• Deliver analytics services for clients, including data assurance, model testing, data analysis, reporting and visualisation.
• Work with audit teams to embed analytics into the external audit approach and help clients integrate analytics into their processes and culture.
• Use tools such as SQL, Python and Tableau to deliver high-quality analytics solutions.
• Coach and guide junior team members, supporting their development and delivery quality.
• Support business development and go-to-market activity, including propositions, client materials and sales conversations.
• Develop innovative analytics tools that respond to evolving regulatory requirements in financial services.
• Build and maintain long-term relationships with stakeholders across client organisations.
• Contribute to diverse, inclusive teams where people are recognised for their impact.

Connect to your skills and professional experience

Essential

• PhD, Master’s, or Bachelor’s degree, or equivalent experience, preferably in a quantitative field such as mathematics, physics, statistics, computer science, accounting, finance, or engineering;
• Relevant experience working in an analytics or modelling team in the financial services industry either within a professional services or FTSE 350 firm;
• An eye for detail, and a structured and thorough approach to delivering high quality output, including experience of code, output and documentation review;
• Hands-on experience in various data processing, including data quality assessment, data cleaning, consolidation, analysis, visualisation and insights interpretation;
• Advanced technical experience with Excel and at least one other programming language such as Python, SQL, VBA, Tableau;
• Sound knowledge of one or more financial asset classes (e.g. derivatives, loans, mortgages);
• Excellent oral and written communication skills;
• Proactive with a desire to continue to learn and develop both quantitative and qualitative skills;
• Exceptional analytical capabilities and a passion for problem solving;
• Ability to build and develop strong client relationships

Desirable

• Holding or working towards a professional qualification (e.g. CQF, FRM, CFA, ACA, CIMA);
• Understanding of the regulatory environment and an understanding of data quality frameworks such as BCBS239

Please see job role.