Please see job role.
Location: Americas
Head of Market and External Managers Risk, P4
Under the overall supervision of the Chief, the incumbent will perform the following duties: 1) Contributing to Asset-Liability management within a pension fund context and strategic asset allocation exercises. 2) Providing independent oversight on tactical asset allocation and risk distribution across internal investment teams and external asset managers through a robust risk budgeting framework, without direct involvement in front office decision-making. 3) Analysis of risk for public market asset classes (fixed income, equities, currencies) 4) Create, prepare on a regular basis and analyze risk reports. 5) Monitor and identify risk, interpret reports and formulate risk reduction in accordance with OIM goals. 6) Perform risk-related due diligence and monitoring of external asset managers in public asset classes. 7) Model and integrate risk statistics by conducting research on macroeconomic factors and risk metrics reports to provide quantitative inputs on various investment proposals and existing portfolios of investments. 8) Conduct quantitative analysis of the Fund’s assets for the effectiveness and use of indexed tools and derivatives instruments for hedging equity, currency, duration, interest rate, and other risks. 9) Functional owner of the risk data management database and conduct independent risk calculations. 10) Develop and deliver an assessment of portfolio risks of both internally and externally managed investments. 11) Monitor market and external manager risks. 12) Represent the Fund at inter-agency meetings, seminars, etc., on substantive relative issues as instructed by Senior risk officer or the Chief, Risk and Compliance. Participate in international, regional or national meetings and provide programmatic/substantive expertise on Portfolio Risk Analysis and Attribution, or holds programmatic/substantive and organizational discussions with representatives of other institutions. 13) Collects and analyzes data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting. 14) Carries out other tasks as may be assigned by Senior risk officer or Chief Risk and Compliance Officer.
Consultant, Risk Analytics Researcher
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.
Sr Actuary, Asset Modeling
Critical senior level actuarial modeling role to drive asset modeling development and execution in Moody’s AXIS or MG-ALFA. Support valuation, forecasting, pricing, and risk management. Provide technical expertise to modeling methodologies. Drive implementation of complex asset types and investment strategies, oversee annual asset adequacy testing, and mentor team members. This role offers great visibility to senior leadership, opportunities for career growth, and flexible work arrangements. Supportive, respectful work environment with strong commitment to professional development.
Sr Consultant, Risk Analytics
Do you have the desire to play a critical role in driving data-based business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce accepts an agile work environment and a collaborative culture to deliver outstanding solutions and results. Our Risk Analytics professionals play a key role in transforming quantitative data analysis into meaningful insights that drive business results. Specifically, they serve as the conduit joining quantitative risk analysts to business partners.
As a Senior Consultant, you’ll be responsible for the creation and management of risk analytics projects to solve business problems and objectives. You’ll work strategically and consultatively with business partners across the organization to match quantitative analysis with business needs. We’ll count on you to be the key point of contact, linking business to technical research. It’s imperative that you have both a confirmed understanding of quantitative analytics and that you are able to expertly articulate solutions to many levels of leadership.
Job Description
Key Responsibilities:
- Understands and assesses key business needs. Proactively owns the strategic development of appropriate quantitative modeling solutions.
- Collaborates with organizational departments or business functions to accomplish strategic goals, objectives, and initiatives.
- Builds risk analytic strategies for business problems through collaborating, consulting and driving expectations.
- Leads in the understanding and analysis of models across the enterprise to ensure that model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
- Crafts clear and concise summaries of findings and recommendations. Uses impactful storylines and data visualization geared to both technical and non-technical audiences.
- Drives business value through crafting and communicating strategic business solutions to leaders.
- Leads all aspects of development, testing, implementation and administration of quantitative modeling processes and tools.
- Evaluates and ranks quantitative solutions to business problems.
- Leads communication of the key benefits and limitations of sophisticated modeling tools for business applications.
- Leads governance of modeling tools and ensures they are applied consistently.
Analyst / Senior Analyst – Model Validation Group – Toronto
At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority. Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity encouraging an environment where employees can be their true selves. Our inclusive and progressive approach helps us to keep a balanced perspective. Fitch is also committed to supporting its employees by advancing conversations around diversity, equity and inclusion. Fitch’s Employee Resource Groups (ERGs) have been established by employees who have joined together as a workplace community based on similar backgrounds or life experiences. Fitch’s ERGs are available to connect employees with others within the organization to offer professional and personal support.
With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this ever changing and highly competitive market. We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey.
Fitch Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch Ratings offers global perspectives shaped by strong local market experience and credit market expertise. The additional context, perspective and insights we provide have helped fund a century of growth and enables you to make important credit judgments with confidence.
The Model Validation Group (MVG) is currently seeking a model validation analyst at Analyst or Senior Analyst level based out of our Toronto office.
The MVG is part of the Criteria Review and Approval Group which reports to the Chief Risk Officer. The core objective of the department is to ensure the quality and consistency of Fitch’s rating criteria and models. The MVG team focuses on reviewing and validating all models used in the credit rating analysis across Fitch Ratings and works closely with the Criteria Officers to review and approve criteria.
What We Offer:
- Gain valuable credit modeling and validation experience, along with a good understanding of related credit products, their rating methodology, and criteria.
- Develop a solid knowledge of model governance practices and the regulatory environment.
We’ll Count on You To:
- Review and validate a wide range of credit rating models, such as default models, cashflow models, capital models, and regression models, covering asset classes including ABS, CMBS, Covered Bonds, RMBS, Structured Credit, Corporates, Financial Institutions, Insurance, and Sovereigns.
- Review model codes and documentation, build replica models, design and execute comprehensive testing (conceptual soundness, performance/back-testing, sensitivity analysis, benchmarking).
- Discuss review outcomes and observations with the model owners, developers, and Criteria Officers.
- Write high-quality validation reports and memos aligning with internal standards and applicable regulatory expectations.
- Contribute to enhancements in validation approaches, testing framework, and automation tools.
What You Need to Have:
- Master’s degree in quantitative disciplines or finance.
- 0-3 years of experience in financial modelling/analysis.
- Capability to explain and communicate model review observations and model technical aspects clearly to technical and non-technical audiences.
- Self-motivation with an ability to manage timelines across multiple projects.
- Thorough attention to detail.
- Strong work ethic.
What Would Make You Stand Out:
- Demonstrated proficiency in programming in Python, R, VBA for quantitative statistical analysis. Familiarity with common libraries (e.g., pandas, NumPy/SciPy, scikit-learn) and Python object-oriented programming.
- Previous exposure to credit rating analysis or cash flow modelling
- Understanding of model risk management practices
- A Certificate in Quantitative Finance (CQF)
Portfolio and Quantitative Analytics Analyst – Lazard Wealth
Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.
Lazard Wealth (LW), LAM’s wealth management business, collaborates with our clients to help solve and simplify the complexities of wealth, while delivering sophisticated investment solutions and advice. We combine years of history and experience to help preserve and grow our clients’ wealth across generations. The principal areas of focus with clients are strategic advice and planning, investment management and direct private investments. Working in partnership with families, we customize an investment process that meets their specific needs.
We are seeking a Portfolio & Quantitative Analytics Analyst to play a critical role in supporting and overseeing risk management functions within our firm. You will be responsible for developing and implementing effective risk management strategies, models, reports, and procedures across client portfolios, market research, and technology solutions.
We’ll trust you to:
- Utilize and assist in the development and maintenance of risk models and tools to identify and monitor portfolio risk factors, stress test portfolios, and ensure compliance with risk management guidelines.
- Proactively monitor market conditions and perform scenario analysis to assess potential impacts on portfolio risk exposures and recommend necessary adjustments.
- Observe and contribute to portfolio and investment decisions; contribute to the development of investment strategies, asset allocation models, and risk management frameworks, incorporating quantitative research insights.
- Become proficient in statistical techniques and quantitative models to assess portfolio and investment risk, estimate potential returns, and optimize portfolio construction in order to deliver performance attribution analysis, factor-based exposures, and portfolio optimization.
- Stay updated on the latest industry trends and research advancements in risk management, quantitative analysis, and portfolio construction methodologies.
- Collaborate with other groups within the Firm to offer quantitative support and industry specific input.
- Support the Investment Team with quantitative research and analysis of investment opportunities across various asset classes, including equities, fixed income, and alternative investments with a strong focus on risk management and portfolio construction.
- Evaluate and implement risk management techniques, such as hedging strategies, derivatives, and asset allocation adjustments to mitigate portfolio risks and enhance risk-adjusted returns.
You’ll need to have:
- 3-5 years’ experience in a risk management, analytical, or quantitative role, particularly within the asset allocator and wealth management space.
- A Bachelor’s degree in finance, economics, mathematics, statistics, or a related field. Advanced degree (e.g., MBA, MSc) with a focus on quantitative finance or risk management is preferred.
- Understanding of risk management principles, quantitative modeling techniques, and statistical analysis.
- Experience using programming languages such as R and MATLAB for quantitative research, data analysis, model implementation and creation of interactive dashboards.
- Proven experience in MATLAB programming and software development.
- Ability to prioritize and manage multiple tasks and projects effectively.
- Ability to access, manipulate, and clean large data sets from various databases and sources.
- Experience with risk modeling software, quantitative analytics platforms, and market data providers (e.g. Bloomberg).
- Familiarity with risk measurement methodologies (e.g., VaR, stress testing, factor analysis) and risk management frameworks (e.g., risk budgeting, risk-adjusted performance metrics).
- Baseline knowledge of financial derivatives, options pricing models, and portfolio optimization techniques.
- Excellent problem-solving and critical-thinking skills, with the ability to analyze complex data sets and draw meaningful insights.
- Strong communication and presentation skills, with the ability to explain quantitative concepts to non-technical stakeholders.
- A strong interest in working on a wide range of problems related to diverse asset classes and investment strategies. Understanding or interest in learning about alternative asset classes.
- Professional certifications such as FRM, CQF, or CFA are desirable.
Consultant, Risk Analytics – Capital Risk
You’ll be trained to own and operate multiple Tier 1 quantitative risk and capital models that support our Capital, Appetite, and Limit (CAL) framework. Your responsibilities will include:
- Develop new quantitative models that support asset risk analytics and product underwriting. Translate strategic priorities into operational reality. Enable efficient modeling for production and ad-hoc analysis purposes.
- Own the operation, maintenance, and continued improvement of the Tier 1 fixed income credit risk model.
- Own the operation, maintenance, and continued improvement of the Tier 1 equity/alternative asset risk model.
- Drive quarterly capital adequacy tests. Support enterprise target capital framework and ad-hoc stress test.
- Support investment risk analytics and governance. Provide modeling insights for investment risk budget and sector guidelines. Enhance portfolio risk modeling and management.
- Partner with Model Risk Management on model validation and governance.
- Prepare risk reporting to executive committees, including the Board, EFRC, and ERCR.
This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
It is our intention to fill this role in Columbus, OH. The hired associate must reside within 35 miles of One Nationwide Plaza, Columbus OH, 43215.
Internal Compensation Grade: G5
Required Education/Experience/Skills:
- Strong quantitative modeling skills with proficiency in Python for statistical and data analysis.
- Solid understanding of economics and investment asset classes.
- Proficiency with Microsoft Excel.
- Strong communication skills and the ability to articulate complex modeling concepts to senior leaders.
- Preferably 5+ years of experience in quantitative risk modeling.
- Preferred professional designations (or progress toward them): CFA, FRM, or FSA.
Quantitative Strategies Group Intern
Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.
What We’re Looking For
Cross River is looking to hire new talent for our 8-week summer internship program beginning in June 2026. Cross River has developed a customized, project-based program where we strive to individualize each student’s experience based on their unique skill set and career choice. This program is designed for graduate students in mathematical or financial fields. The intern will have the opportunity to sharpen skills with portfolio analysis, quantitative research and modeling, along with technical skills like Python, SQL, and AWS.
The intern will gain direct exposure to the leading fintech platforms in the consumer lending space. The ideal candidate will be passionate about wanting to understand how these fintech companies operate and will possess a diverse skillset, as well as deep curiosity with a willingness to learn.
Responsibilities:
- Develop analytical solutions and tools to support the Trade Desk with pricing requests & ad-hoc analysis for Live Deals. Help create reporting visualizations for different areas of business
- Assist in conducting quantitative research by evaluating new methodologies & writing production-ready code
- Deliver other portfolio management tools and data science products to help grow different functions
- Facilitate due diligence and data requests from investors. Support industry thematic research
Qualifications:
- Master’s Degree in Financial Engineering, Financial Mathematics, Statistics, Applied Math, Computer Science, Economics, or any other quantitative field
- Strong analytical skills and an interest in building a career in Quantitative Finance. Any progress towards quantitative/general finance certifications like CQF, ARPM, CFA, FRM is a plus
- Fluency in Excel & Programming – Python & SQL
- Basic understanding of Capital Markets, Securitizations, Consumer Credit products is a plus
- Ability to work well in a fast-paced environment
- Detail-oriented, excellent communication skills – written & verbal
- Ability to grasp & explore new concepts that may be unfamiliar
This internship will have a hybrid schedule in our Fort Lee, NJ office.
Hourly Rate: $15.00 – $25.00
Sr. Manager, Business Financial Performance
Job responsibilities:
- Partner with a broad range of organizational stakeholders in designing, elaborating, testing, analyzing, advancing and/or maintaining one or more financial methodology standards under coverage.
- Provide ongoing research, testing, industry benchmarking and continuous communication with the lines of business regarding upcoming changes and pro-forma impacts.
- Execute against the team’s stated Roadmap towards best-in-class financial methodologies and proposed financial management target-state systems, including financial resource allocation targets across Lines of Business and other strategic initiatives.
- Coordinate and communicate with key stakeholders across Corporate Treasury, Model Risk, Controllers, and others, to stay abreast of regulatory, accounting or modeling changes that may have broad enterprise implications; and provide independent perspective on Client and Business Profitability implications to internal partners and Line of Business stakeholders.
- Lead governance and/or working group routines as the SME of enterprise methodologies for specific standards, adopting considerations and concerns by stakeholders, ensuring proper handoff to stakeholders and integration teams when applicable.
- Demonstrate strategic thinking, collaborative demeanor, proactive behavior and maintain stakeholders on-topic to drive decisioning.
- Use excellent interpersonal, organizational, and communication skills, including the ability to think clearly and articulate nuanced information in a concise and effective manner to a wide variety of audiences.
- Demonstrate ability to prioritize well in a dynamic environment and deliver solution-oriented work that reflects independent and proactive consideration of issues.
- Gather data and perform analysis to properly test and validate proposals, understand and summarize Business Unit and Segment-level implications and communicate effectively with stakeholders.
- Develop and update documentation around financial methodologies and frameworks, and onboard new stakeholders as needed.
- Prepare executive documents or presentations to include design, considerations, implications, key findings and recommendations.
- Lead or support other ad-hoc projects or analyses as needed by executive and senior management.
Required Qualifications:
The requirements listed below are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- 7-10 years of financial services, banking, and/or management consulting trajectory, with experience in Treasury, Financial Risk Management, FP&A or similar roles.
- Familiarity with banking balance sheet products and concepts (e.g., institutional and retail loan structures, exposures, collateral) and core lines of business.
- Experience in one or more key bank measurement systems (e.g., product or client-level cost allocation, cost taxonomies, regulatory/economic capital, FTP); or financial modeling (e.g., credit risk models, complex financial statement modeling, balance sheet optimization).
- Basic understanding of financial performance management theory and practice (e.g., Cost of Capital, RAROC, EVA, SVA).
- Working knowledge of standard bank regulatory metrics under Basel framework (e.g., RWA, CET1, TLAC, LCR, NSFR) and implications for enterprise-wide and instrument-level financial resource management considerations.
- Knowledge of theoretical and applied accounting and finance concepts and techniques (e.g., cash flow models, loan pricing, cost analysis, etc.), including the ability to perform select calculations of various financial instruments’ performance and cash flows.
Preferred Qualifications:
- Master’s degree in business, finance, business analytics, mathematics, or other quantitative field and/or completion, or demonstrated progress toward, a relevant certification (e.g., CFA, CPA, FRM, CQF, CTP).
- Previous experience in Corporate Finance, Treasury, Capital Management and Optimization, Financial Risk Management, Corporate Development, Transaction Advisory or Investment Banking; or in-depth experience with wholesale and/or retail credit products in a credit, pricing, structuring or finance role.
- Experience engaging with LOB or client teams in a negotiating and/or advisory capacity to discuss technical matters relevant to the financial services industry.
- Experience supporting initiatives across multiple functional groups.
- Experience presenting in formal forums (e.g., ALCO, Risk committees) and/or driving formal routines with senior stakeholders.
- Experience in a review and challenge role.
- Strong in Excel and PowerPoint.
- The following skills are not required to perform current job duties but will be considered a plus: understanding and basic experience implementing ad hoc scripts with SQL and/or Python; VBA experience; mastery of any advanced data tools.