Jobs Archive

Valuation Services Derivatives & Structured Products Senior Manager (m/f/d)

As a Senior Manager, you will lead and oversee valuation analysis and reviews across a broad range of derivatives, structured products and illiquid financial instruments, ensuring technical accuracy and compliance with IFRS and regulatory standards. You will act as a key point of contact for audit teams and clients, manage and develop a team of valuation professionals, and contribute to business development initiatives. You will also be involved in enhancing methodologies, developing existing and new valuation tools and platforms.

Be a part of our team where you will: 

Be part of a dynamic and entrepreneurial workplace environment, where you are valued for the unique contribution and perspectives you bring;

Benefit from our ‘Valuation Learning Pathway’, a unique and distinctive program that will allow you to grow as a valuation professional;

Benefit from a large choice of internal and external trainings;

Diversify the opportunities to build practical knowledge by working on a wide spectrum of asset valuation or otherwise related topics;

Diversify your client experience by working directly with top private and public clients of all sizes in Alternatives;

Participate in our Corporate Social Responsibility activities;

Take advantage of our comprehensive benefits, which help you find flexibility with your work.

Let’s talk about you. If you have …

+10 years of experience in the valuation of derivatives, structured products and illiquid financial instruments, ideally gained within a Big 4, an asset management environment or a financial institution.
Master’s degree in finance, financial engineering, mathematics applied to finance, or from a leading business school.
Demonstrated leadership and team management experience, with a proven ability to coach and inspire professionals.
Strong project management and multitasking skills, able to handle multiple high-profile engagements under tight deadlines.
Strong expertise a wide range – from simple to complex derivatives & structured products – alongside corresponding valuation methodologies.
Knowledge of IFRS standards related to valuation (IFRS 9, IFRS 13, IFRS 7).
Strong soft skills: analytical mindset, rigor, problem-solving ability, client orientated, and resilience under pressure.
Proficiency in financial tools such as Bloomberg, Refinitiv, Super Derivatives, with advanced knowledge of Excel/VBA.
Excellent communication and interpersonal skills in English (written and spoken).
Professional qualifications (CQF, CFA, FRM, CAIA, etc.) are considered an asset but not required.

…You are the candidate we are looking for!

Gen AI Credit Risk – Manager – Bangalore

We are looking for high-caliber professionals with strong foundations in credit risk modeling and hands-on experience in AI/ML techniques. The ideal candidate will contribute to the development and validation of regulatory and strategic risk models, while also applying machine learning and generative AI techniques to enhance model accuracy, efficiency, and interpretability.

Key Responsibilities

Develop, validate, and document credit risk models (PD, LGD, EAD) for retail and wholesale portfolios across regulatory (CECL, IFRS 9, Basel) and business-use contexts.
Apply AI/ML algorithms (e.g., LightGBM, XGBoost, Random Forest, Neural Networks) to improve prediction power and model performance beyond traditional approaches.
Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation. Experience with agentic frameworks like Autogen, LangChain, or similar would be helpful.
Experience of development and deployment of models in cloud-based platforms such as Azure, AWS, GCP etc.
Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments.
Partner with cross-functional teams, including business stakeholders, technology teams, and model governance, to ensure model alignment with business objectives and regulatory expectations.
Contribute to innovation initiatives and support proposal development, thought leadership, and solution architecture in the AI/ML space.

Required Skills & Experience

2–6 years of total experience, with minimum 2 years in AI/ML or GenAI model development or validation.
Strong understanding of credit risk modeling frameworks, scorecard development, and risk metrics (e.g., RWA, Expected Loss, Economic Capital).
Proficient in Python and SQL, with hands-on experience using ML libraries such as scikit-learn, Tensorflow, Pytorch and transformer-based LLM packages
Familiarity with regulatory standards such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR 11-7, and model governance best practices.
Exposure to cloud environments (Azure preferred), version control (Git), and workflow automation tools.
Experience with credit bureau data, vendor models (e.g., FICO, Moody’s, S&P), and financial benchmarking is a plus.
Ability to clearly communicate complex technical content to non-technical stakeholders through reports, dashboards, and presentations.

Education & Certifications:

Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance.
Professional certifications such as FRM, CFA, CQF, or in product management equivalent are preferred.
Contributions to opensource AI / ML projects and competitions is preferred

Risk Manager, Collateral Risk Management (AVP/VP)

At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group’s global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today!

Collateral Risk Management Team oversees the management of market risks arising from collateral received in connection with BoS client’s borrowing against security and derivative trading activities. The team’s objective is to manage risk efficiently and effectively so as to protect the bank’s financial returns and sustain business growth. The team is responsible for both the development of the methodology, parametric approach, policy and procedures as well as the operationalization, implementation and day to day risk monitoring, action taking and business support.

Roles And Responsibilities

Participate in conducting research, review and development of the quantitative model and qualitative assessment framework for measuring and mitigating market risk in collateralised lending and margin trading.
Perform data analysis, exposure quantification, risk factor mapping, scenario, sensitivity and stress analysis studies
Contribute to the design specification, logic derivation, results verification exercises for market risk functionalities implemented in the bank’s internal and external digital systems across various infrastructure and platforms.
Conduct periodic review of the relevant limit and control, carry out documentation and rationalization of the mitigation actions in adherence with the bank’s internal policy, procedures and guidelines.
Support new products and businesses development. Evaluate and formulate viable approach to help widen business coverage and product scope while ensuring risk appetite under control.

Requirements

University degree in a quantitative discipline (e.g. Mathematics, Statistics, Financial Engineering etc.)
Professional qualification such as CFA, FRM, MFE, CQF etc is desirable
7 years or above relevant experience in market risk
Advanced knowledge of key products of capital markets. Understand the main risk drivers and factors. Familiar with valuation of the financial instruments and derivatives.
Advance data analysis skills. Programming in Python, SQL is expected.
Analytical and independent thinker with good written and verbal communication skills especially in explaining complex technical subjects in a simple/pragmatic manner to business and senior management.
Strong curiosity of the field, proactively seeking opportunity of learning and progress.
Strong team player with good communication, interpersonal and organizational skills

Model Validation – Market Risk – Sr Manager

EY’s Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.

Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.

Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs

Your key responsibilities

Engagement Leadership
- Demonstrate deep technical capability and industry knowledge of financial products
- Be the technical lead and subject matter expert in the following areas:
  - Model Risk Management /model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  - Working knowledge of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
  - Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models
  - Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory.
  - Pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities.
  - Programming languages like Python/R/C++

- Advise and provide clients with strategic recommendations on Financial Services Risk Management issues facing the financial services sector, focusing on the identification, measurement, and management of Traded Products Risk and Capital
- Participate in Quantitative Risk and Assurance engagements such as derivatives pricing, market risk and counterparty credit risk modelling and model validation support.
- Understanding clients’ unique ambitions and needs and referring them to colleagues in other teams and areas to broaden our business relationships

Go-To-Market
- Drive and lead business development initiatives
- Provide sales and pursuit enablement support
- Lead expansion of business in various accounts and sectors by expanding and leveraging the relationships and contacts in the market
- Experience in stakeholder and client management
- Build and maintain long-term relationships both in the market and within the wide-ranging EY network

People responsibilities
- Conduct performance reviews and contribute to performance feedback for Senior Consultants and Managers
- Contribute to people initiatives including recruiting talent
- Maintain an educational program to continually develop personal skills

Intellectual capital building responsibilities
- Play your part in developing intellectual capital to support delivering superior outcomes for client and firm
- Provide insights in creating thought leadership articles and white paper in the areas of upcoming market risk topics and trends.

To qualify for the role, you should have

Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 11+ years of relevant industry experience and track record.
Professional Qualification e.g., CQF / CFA / FRM / PRM would be preferred
Significant experience in application and justification of statistical and numerical techniques and principles of the theory of probability.
Good understanding of Derivative Pricing, Market risk measurement and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements.
Modelling background, including experience in model development and model validation
Excellent communication, strong problem solving and solution development skills
Project management and report writing experience
Ability to drive business development and contribute to the growth of the EY solutions
Willingness to travel to meet client needs
A self-starter, can-do attitude with energy and willingness to try new things

Everything you’ll do will come back to providing exceptional services to our clients. Colleagues and clients will look to you to lead components of the project, drive high quality results while coaching & motivating staff and managing client expectations. You will build your knowledge and experience, become a trusted advisor, and take your career to new heights.

Predictive Modeler P&C Commercial Actuarial Consultant

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.

As a Consultant, you’ll work on projects associated with the design, development, and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter authority in Nationwide’s risks. It’s imperative that you are fully proficient with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities:

Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
Crafts and updates model documentation for business continuity purposes.
Collaborates to develop creative solutions to business problems.
Acts as the technology owner for Risk Analytics.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

AVP, Risk Analytics and Modelling

Principal responsibilities

Lead in delivering at least one of the following key wholesale risk model engagements:
Development, validation, and maintenance of Regulatory credit risk models including PD, LGD, RWA for wholesale clients.
Development, validation, and maintenance of Wholesale Economic response models (Stress Testing, IFRS9) including PD, LGD, ECL for wholesale clients.
Demonstrate an expertise in highly technical areas (e.g. statistical regression analysis, statistical model builds of PD, LGD and EAD models), as well as a deep understanding of the Wholesale business environment and its associated credit products.
Collaborate with Business heads, Risk (WCRM), Regional counterparts, Finance, MRM & Data team.
Responsible for ensuring that the model outputs are required to support annual ICSA exercise, regulatory submissions enabling to embed Climate in Credit risk and assess impact of net-zero risk on wholesale portfolio.
Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers.
Follow the global model standards while supporting model development, validation, and monitoring.
Develop a good understanding of risk data flows from customer and product systems, defining it through to the finance and regulatory reporting systems.
Translate and present technical work into more acceptable form in order to get the stakeholders’ buy-in.

Requirements

Functional Knowledge

Relevant analytics experience in banking domain / IFRS9 risk analytics/ Stress testing.
Good exposure to credit model methodologies data requirement for Stress Testing models, AIRB and IFRS 9 modelling.
Knowledge and understanding of wholesale portfolio risk drivers, their use and impact on capital requirements; knowledge of regulatory capital and its components.
Knowledge of AIRB/IFRS9 PD, LGD or EAD credit model development would be a plus.
Decent understanding and interpretation of regulatory rules.
Strong coding skills in Python, R, SAS, Matlab, SQL etc. would be essential.
Certifications like FRM, CQF or SCR will be preferable.

Risk Management

Please see job role.

FSRM Credit Quant – Senior

Associate Quantitative Credit Actuary

As a Quantitative Credit Actuary, analyzing business profitability is key. You will identify the main drivers affecting portfolio performance and develop proposals, in collaboration with senior team members and business owners, to close the gap between costed assumptions and actual results.

Credit Portfolio Manager

The Actuarial Portfolio Management team is responsible of providing the framework to portfolio owners to ensure a proper portfolio steering, distribute capacity among the different team accordance to the Target Liability Portfolio, monitoring evolution of the portfolio from profitability & risk views, ensure adherence to aggregate limits and lead the data transformation in the C&S team