Employment Type: Full-time

Strategic Advisers, LLC (SAI) is a registered investment advisor and Fidelity Investments Company that provides investment management services to clients through Fidelity’s retail and institutional distribution channels. For more than 30 years, SAI has specialized in the investment management of managed accounts and other custom solutions to help investors reach their financial goals. With more than $1.4 trillion in assets under management in a blend of Fidelity and third-party investment vehicles, Fidelity’s SAI is a leading provider of managed solutions for retail, workplace, and institutional clients.

The Team

The Separately Managed Account (SMA) Team is responsible for SMA model management, portfolio construction, management and trading of existing Fidelity’s retail managed accounts in addition to developing, researching and launching new products and initiatives. We employ investment expertise, quantitative techniques and technical skills to further enhance the team’s roles and responsibilities across single asset class portfolios for high-net-worth and mass affluent individuals and trusts.

The Role

The Senior Investment Manager will focus on reviewing discretionary client portfolios primarily invested in US and international equity portfolios, which are offered in standalone and sleeve forms as well as newer strategies like long/short offerings. The Senior Investment Manager will have a high degree of investment expertise to review and trade the tax-aware and non-taxable SMAs. In addition, this role will also provide tax-aware transition strategies and hypothetical account reviews for clients. You will play a significant role in SAI’s next generation of sophisticated investment solutions which include custom multi-account investment management and asset location strategies.

Primary Responsibilities

Trade Execution

• Long/Short equity account reviews and analysis
• Enhance long/short equity strategies and improve upon processes
• Execute daily equity trading activities across individual client portfolios for standalone
• Ensure model alignment and liaise with operation teams
• Monitor and maintain portfolio performance, execution and risk metrics
• Develop and maintain relationships with internal trading partners
• Monitor current events and gauge market reactions

Portfolio Construction

• Manage individual client portfolios utilizing complex portfolio construction techniques that involve optimization across different tax registration types
• Be able to decipher and clearly understand the impacts on investment risk and return characteristics
• Develop a deep understanding of internal analyst and portfolio manager research on portfolio construction, and business cycle positioning to achieve superior pre- and after-tax returns consistent with the investment philosophy
• Contribute to the broader investment philosophy and process for the strategy
• Collaborate with other parts of SAI and Fidelity, including Business Oversight, Portfolio Management, Research, Technology, and Operations to continually improve our model management process and implementation

Qualifications

Experience/Education

• Deep understanding of long/short equity investing, short selling and securities finance
• Extensive experience trading, articulating, or creating long/short equity strategies
• Bachelor’s Degree required and emphasis in finance/accounting/economics subjects strongly preferred
• Existing or progress toward a professional designation or certification including, but not limited to CPA, CFP, CQF etc. a plus
• 5+ years of meaningful investment experience in research, portfolio management, or trading

Skills And Knowledge

Professional & Interpersonal

• Ability to operate in a demanding environment with an adaptable skill set, creative problem-solving skills, and the ability to multi-task and work across many projects
• Excellent oral and written communication skills
• Extraordinary attention to detail, as well as great analytical skills that allow for independent judgement and conclusive reasoning while dealing with significant time constraints
• Ability to work effectively on a collaborative team with a strong spirit of innovation, maintaining comfort in undefined environments

Quantitative & Technical

• Awareness of portfolio optimization tools and techniques like Axioma and risk models like Barra
• Strong quantitative analysis skills around oversight of portfolio holdings & risk exposures
• Skilled using AI tools and techniques preferred
• Experience using FactSet or Bloomberg
• Skilled in advanced programming languages like R, Python and SQL strongly preferred
• Comfort working with large datasets, using database tools and platforms as well as report and visualization platforms like Tableau

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

The Difference You Make

We are seeking a talented and motivated Front Office Quantitative Analyst to join our New York Quant team supporting the Latin America Rates and FX business. This role sits at the intersection of quantitative research, technology, and trading, with responsibility for developing, implementing, and maintaining pricing, risk, and market analytics for linear interest rate and foreign exchange products across local and offshore Latin American markets.

As part of a global Quant team, you will contribute to the build-out of a modern quantitative framework, working on next-generation pricing libraries while supporting and enhancing existing production systems. This is a unique opportunity to help shape a scalable, high-performance quantitative ecosystem while partnering directly with Trading, Sales, Structuring, Risk, and Technology teams to support one of the firm’s core Latin America franchises.

Key Responsibilities

• Develop, enhance, and maintain pricing and risk analytics for linear interest rate and FX products, including interest rate swaps, cross-currency swaps, FX forwards/NDFs, sovereign bonds, repos, and money market instruments.
• Design and enhance multi-curve construction frameworks for discounting, forwarding, collateral, and cross-currency basis across developed and Latin American markets.
• Develop quantitative models and market data infrastructure supporting local and offshore Latin American markets, including BRL, MXN, CLP, COP, PEN, and other regional currencies as applicable.
• Contribute to the development of the firm’s next-generation quantitative library in Rust and its Python APIs for front-office applications.
• Maintain and enhance existing C++ pricing libraries while driving the migration toward modern, scalable architectures.
• Design and extend APIs that enable efficient integration across pricing, risk, and trading platforms.
• Develop pricing, risk management, and market-making tools used directly by Sales and Trading in daily decision-making.
• Incorporate FX dynamics including funding, collateral, cross-currency basis, offshore liquidity, and local market conventions into pricing and risk analytics.
• Optimize numerical methods and improve the performance, robustness, scalability, and reliability of pricing and risk calculations.
• Investigate pricing and risk discrepancies, perform root-cause analysis, and deliver robust solutions within business timelines.
• Partner closely with traders and structurers to develop new pricing methodologies, improve risk analytics, and support new product initiatives.
• Contribute to testing frameworks, model validation, production monitoring, and quantitative governance standards.
• Document quantitative methodologies, model assumptions, and system architecture for internal stakeholders.
• Collaborate closely with Trading, Sales, Structuring, Risk Management, and Technology teams across global locations.
• Support the strategic transformation of the quantitative platform by promoting best practices in software engineering, architecture, testing, and code quality.

What You Bring

• Approximately 3+ years of experience in Front Office Quantitative Analytics, Quantitative Development, Financial Engineering, or related roles supporting trading businesses.
• Proven experience developing pricing models, market data frameworks, and curve construction methodologies for interest rate and FX products.
• Experience supporting production trading environments and working directly with Front Office stakeholders.
• Experience with Latin American markets, emerging market rates, offshore trading environments, or cross-currency products is highly desirable

Technical Skills

Programming

• Strong programming skills in Python and modern C++.
• Experience with Rust or a strong interest in developing production-quality systems in Rust.
• Experience designing APIs and integrating quantitative libraries into front-office applications.
• Familiarity with Linux, Git, CI/CD workflows, and modern software development practices.

Quantitative Knowledge

Strong Understanding Of

• Yield curve construction and multi-curve frameworks.
• Bootstrapping, interpolation, discounting, and forwarding methodologies.
• Pricing and risk management of linear interest rate products.
• FX forwards, NDFs, cross-currency swaps, and cross-currency basis.
• OIS discounting, collateral, funding, and valuation adjustments relevant to front-office pricing.
• Numerical optimization techniques and computational methods.

Preferred Experience

Experience with one or more of the following is considered a plus:

• Quantitative libraries such as QuantLib or similar analytics frameworks.
• Bloomberg, Murex, Summit, or other front-office trading platforms.
• Performance optimization, parallel computing, and scalable distributed systems.
• Automated testing frameworks, model validation, and production monitoring.

Soft Skills

• Strong analytical and problem-solving abilities with a hands-on, ownership mindset.
• Ability to perform effectively in a fast-paced Front Office trading environment.
• Excellent communication skills with the ability to explain complex quantitative concepts to technical and non-technical stakeholders.
• Collaborative approach with the ability to work effectively across Trading, Technology, Risk, and Structuring teams.
• Demonstrated ability to balance quantitative rigor with pragmatic solutions that deliver business value.

Education

• Master’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education – Required
• PhD: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education – Preferred

Certifications

• Professional certifications such as CQF or FRM are a plus.

Assurance Advisor, Assurance, Financial Accounting Advisory Services, (Commodities Markets) (Manager) (Multiple Positions) (1727615), Ernst & Young U.S. LLP, Houston, TX.

Provide audit and advisory services to companies with commodity operations and exposure. Assist clients and plan study of work problems and procedures, such as key organizational issues, communications, information flow, integrated production methods, or technology. Help commodity traders / hedgers conduct a comprehensive organizational gap analysis based upon leading industry practices. Gather and organize information on problems or procedures. Analyze data gathered and develop solutions or alternative methods of proceeding. Develop detailed implementation blueprints to enhance business capabilities and operational effectiveness. Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.

Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree in Accounting, Finance, Business, Economics, Mathematics, Information Technology, or related field and 5 years of progressive, post-baccalaureate work experience with commodities markets. Alternatively, will accept a Master’s degree in Accounting, Finance, Business, Economics, Mathematics, Information Technology, or related field and 4 years of experience with commodities markets.

Must have 3 years of experience working with various commodity transaction types (physical and financial) across multiple markets including understanding and explaining rationale for hedging strategies and short- / long-term business objectives of the client.

Must have 3 years of experience in analyzing commodity risks and/or hedging strategies for various commodity instruments and markets, including in one or combination of any of the following: control and process design, re-design, and/or mitigation related activities.

Must have 3 years of experience with current regulatory landscape impacting the commodity markets (including Dodd Frank and FERC requirements); and experience with how commodity markets operate (in at least one or a combination of any of the following: power, gas, crude, metals and/or refined products).

Must have 3 years of experience leading cross functional discussions with client business units to determine and document functional requirements for potential trading application upgrades and/or implementations.

Must have 3 years of experience in one of the following:

• working on commodity trading audits;
• providing advisory services pertaining to financial risk management; or
• providing advisory services pertaining to commodity trading/hedging operations.

Must obtain CA, CCEP, CIA, CPA, CQF, GARP – FRM, PMP, or SCR certification within one year of hire.

Requires domestic travel up to 50% in order to serve client needs.

Employer will accept any suitable combination of education, training or experience.

Mizuho is seeking a highly motivated Quantitative Strategist (AVP) to join the Balance Sheet Strategy (BSS) – Financial Resource Analysis team, a group at the center of the firm’s efforts to measure, forecast, and optimize the consumption of regulatory capital and other scarce financial resources. As regulatory capital requirements grow in complexity—driven by Basel III Endgame, SA-CCR, and evolving market and counterparty risk standards—this role offers the opportunity to help build the analytical foundation that informs how Mizuho deploys its balance sheet.

The successful candidate will combine strong quantitative and programming skills with a solid understanding of U.S. regulatory capital frameworks to develop RWA analytics, capital forecasting tools, and balance sheet optimization capabilities across Counterparty Credit Risk (CCR), Securities Financing Transactions (SFT), Credit Valuation Adjustment (CVA), and Market Risk. Beyond producing metrics, the role is expected to generate actionable insights that shape business strategy, pricing, and capital allocation decisions.

A key dimension of the role is the practical application of AI and machine learning techniques—including generative AI and large language models—to enhance forecasting accuracy, automate analytical and documentation workflows, and accelerate the interpretation of complex regulatory rules. The Quantitative Strategist will operate at the intersection of quantitative finance, regulation, and technology, working closely with Treasury, Market Risk, Credit Risk, Finance, Technology, Model Validation, and senior management, with significant visibility across the organization.

Key Responsibilities

• Develop and enhance quantitative analytics for RWA, regulatory capital, leverage exposure, and financial resource optimization across CCR, SA-CCR, SFT, CVA, and Market Risk.
• Perform RWA attribution, forecasting, and capital consumption analyses to identify optimization opportunities.
• Support Basel III Endgame implementation, including rule interpretation, impact assessments, and parallel runs.
• Build and maintain Python-based models and data pipelines for capital forecasting, scenario analysis, and stress testing.
• Apply AI / Machine Learning techniques to enhance forecasting, pattern detection, data quality, and analytical accuracy.
• Leverage generative AI and Large Language Models (LLMs) to accelerate documentation, code development, rule interpretation, and process automation.
• Automate regulatory capital calculations and develop scalable analytics and reporting capabilities.
• Prepare methodology documentation and analytical specifications in line with model governance standards (SR 26-2).
• Support interactions with Model Validation, Internal Audit, Regulatory Reporting, and regulators.
• Present analytical findings and capital impacts to business and senior management stakeholders.

Qualifications & Skills

Education

• Bachelor’s or master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, or a related quantitative field.
• Professional certifications such as CFA, FRM, PRM, or CQF are a plus.

Experience

• 5–8 years of experience in regulatory capital, financial resource management, balance sheet management, or quantitative risk analytics at a large financial institution.
• Hands-on experience with one or more of: SA-CCR, CCR, SFT, BA-CVA, Market Risk Capital, or Basel III Endgame.
• Practical experience applying AI / machine learning or generative AI tools in a financial or analytical context is highly desirable.

Technical Skills

• Regulatory: Strong knowledge of Basel III / U.S. Basel III Endgame, SA-CCR, CCR, SFT, BA-CVA, Market Risk Capital, and RWA methodologies.
• Quantitative: Model development, statistical analysis, forecasting, and exposure measurement; solid understanding of derivatives and securities financing.
• AI & Machine Learning: Familiarity with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), generative AI / LLMs, and their application to analytics, automation, and productivity. Awareness of AI governance and model risk considerations.
• Technology: Advanced Python and SQL; Pandas / NumPy and Power BI. Databricks, PySpark, Snowflake, Azure, and Git preferred.

Soft Skills

• Strong analytical and problem-solving abilities.
• Clear communication of technical concepts to non-technical audiences.
• Intellectual curiosity and eagerness to adopt emerging AI-driven tools and techniques.
• Detail-oriented, self-motivated, and able to manage multiple priorities in a fast-paced, regulated environment.

Screening questions will verify hands-on experience with CCR exposure metrics, derivatives risk environments, and data validation in risk change programmes.

📍 Mumbai (Hybrid)

🏦 Banking / Financial Services – Risk Change Programme

💼 Experience: 4–8 years

We are hiring a Business Analyst with hands-on Counterparty Credit Risk (CCR) experience to support risk transformation and regulatory initiatives within a global financial services environment.

This role sits within the Risk Change team, working across Risk Management, Technology, and Front Office stakeholders to deliver change across CCR exposure calculation platforms, risk data frameworks, and regulatory programmes.

Candidates with experience in derivatives exposure, CCR risk metrics, or Basel regulatory initiatives will be particularly relevant.

Role Overview

As a Business Analyst in the Risk Change team, you will support delivery of projects related to:

• Counterparty Credit Risk exposure calculations
• Risk data platforms and analytics frameworks
• Regulatory change initiatives
• Strategic risk system transformations

You will work closely with Lead Business Analysts, programme managers, risk SMEs, and technology teams to translate business requirements into system and process improvements.

Key Responsibilities

Risk Change Programme Delivery

• Support delivery of Counterparty Credit Risk change initiatives
• Work with risk stakeholders to capture business and functional requirements
• Contribute to risk platform and data architecture enhancements

Business Analysis

• Produce documentation including BRDs, functional specifications, and process flows
• Create data mapping artefacts and workflow diagrams
• Ensure documentation aligns with SDLC governance standards

Requirements & Stakeholder Management

• Participate in requirements workshops with risk SMEs
• Translate discussions into user and functional requirements
• Collaborate with Risk, Technology, and Front Office teams

Testing & Implementation

• Support test planning and test strategy development
• Write test cases and scenarios
• Coordinate User Acceptance Testing (UAT) cycles
• Track defects and support release implementation

Data Analysis

• Perform data validation against risk models and business rules
• Support analysis related to risk exposure calculations
• Work with risk data models and exposure datasets

Domain Expertise Required

Candidates should have working exposure to Counterparty Credit Risk frameworks, including familiarity with:

• Potential Future Exposure (PFE)
• Expected Exposure (EE / EEPE)
• Probability of Default (PD)
• Loss Given Default (LGD)
• Exposure at Default (EAD)
• Value at Risk (VaR)
• Risk Weighted Assets (RWA)

Experience with IMM modelling approaches, derivatives exposure modelling, or stress testing frameworks is advantageous.

Exposure to regulatory frameworks such as:

• Basel III
• BCBS 239
• FRTB

is beneficial.

Business Analysis Skills

Strong experience in:

• Requirements elicitation and documentation
• Business Requirement Documents (BRD)
• Functional specifications
• Process flows and data mapping
• Agile or Waterfall SDLC environments
• User Acceptance Testing coordination

Ability to perform structured data analysis and validate outputs against business rules is expected.

Technical Skills

Preferred technical exposure includes:

• SQL for data querying and validation
• Advanced Excel and PowerPoint
• Visio / process modelling tools
• Exposure to Python for data analysis or automation (advantageous)

Ideal Candidate Profile

This role is ideal for professionals who have:

✔ Experience working in Counterparty Credit Risk or derivatives risk environments
✔ Delivered risk change or regulatory programmes
✔ Worked with risk exposure calculations or risk data platforms
✔ Experience supporting UAT and data validation in banking projects

Education & Certifications

Preferred background includes:

• Degree in Finance, Engineering, Mathematics, Computer Science, or related discipline
• Certifications such as FRM, CFA, PMP, or CQF are advantageous
• MBA in Finance or Risk is a plus

Position: Senior ALM and Hedging Director — Life and Annuity

Position Description:

The role combines technical expertise with leadership to drive data-informed product decisions and risk management strategies. A core responsibility will include establishing and strengthening all insurance product hedging programs including variable annuities and index options hedging while developing comprehensive performance reporting for key stakeholders.

The ideal candidate possesses deep knowledge of life and annuity products, demonstrated expertise in both static and dynamic hedging strategies for indexed and variable insurance products, and exceptional communication skills to influence decision-making across all levels of the organization. Success in this role requires both analytic rigor and the proactive ability to translate complex concepts into clear recommendations.

Position Location:

• This is a hybrid role working partially in-office (Lincoln, NE or Cincinnati, OH) and partially from home.

What you do:

• Manage and enhance the Life and Annuity Index Hedging program, including operational components and related product hedges.
• Advocate for actions to be taken by various stakeholders based on ALM (Asset Liability Management) and hedging risks and emerging issues.
• Cultivate a high-performance environment focused on collaboration and continuous improvement.
• Deliver comprehensive reporting to stakeholders on key ALM and hedging metrics.
• Lead the discussion around renewal rate strategy impact on ALM strategy.

What you bring:

• Bachelor’s degree in actuarial science, mathematics, statistics, or equivalent required.
• FSA (Fellow, Society of Actuaries), CFA (Chartered Financial Analyst), CQF (Certificate in Quantitative Finance) designations or equivalent experience required.
• 7-10 years of ALM and/or hedging experience with life or annuity products required.
• Demonstrated ability to drive proactive decisions improving ALM & hedging required.
• Demonstrated ability to influence across departments required.
• Exceptional analytical and problem-solving capabilities with solution implementation experience required.
• Strong communication skills (both written and verbal) with ability to present complex concepts to diverse audiences required.
• Advanced knowledge of financial frameworks (GAAP, STAT) and actuarial modeling desired.
• Experience with Prophet desired.

We are seeking a highly skilled quantitative professional to join the Risk Analytics group to develop and manage analytics for counterparty credit risk models focused on fixed income products, including repos, security lend/borrow, mortgages, and interest rate derivatives. The candidate will contribute to model development across the full model lifecycle, from methodology and design to implementation, validation, and ongoing performance monitoring. The successful candidate will also provide quantitative risk analysis to support day-to-day counterparty credit risk management.

Responsibilities

• Develop and implement analytics to support counterparty credit risk management.
• Design and Build infrastructure to consolidate counterparty credit risk models across systems.
• Conduct quantitative research to implement model changes, enhancements, and remediations.
• Design and develop analytical tools and dashboards to enhance risk transparency and decision-making.
• Build and maintain model performance monitoring, benchmarking, and backtesting frameworks.
• Assess methodologies and processes to identify potential weaknesses and evaluate risk materiality.
• Partner with stakeholders across business, risk, technology, and other functional teams to ensure effective model development, governance, and usage

Qualifications

• Master’s Degree in a quantitative discipline; PhD preferred.
• A minimum of 3–5 years of experience in counterparty credit risk modeling.
• Deep understanding of pricing and risk calculations for financial products.
• Strong analytical skills, with the ability to interpret complex quantitative models and translate business requirements into robust library design, code development, and integration into IT systems.
• Proficiency in Python and other programming languages, with strong data-handling skills in SQL.
• Strong project management, organizational, and stakeholder communication skills.
• Excellent written communication skills, with the ability to produce clear, precise, and compliant model documentation.
• Familiarity with Numerix and/or Bloomberg platforms is preferred.
• CQF Certification is highly desired.

Primary Location Full Time Salary Range of $185,000 – $200,000.

Please see job role.