The Director, Treasury provides leadership, direction and is a recognized subject matter expert in one or more of the following processes (Asset-Liability Management, Interest Rate Risk, Liquidity Risk, Investment Portfolio Management, Cash-Management, Debt Capital Markets, Capital Allocation, Capital Market Theory, Captial Planning and Recovery & Resolution.

Fidelity Digital Asset Management (FDAM) is seeking an experienced results-oriented individual to lead investment risk. Develop and maintain investment risk frameworks and risk appetite statements (including market, credit, operational, counterparty credit, and liquidity risks) that are comprehensive and tailored to the crypto asset environment.

Serving as a subject matter expert for market developments, competitive environment, and growth trends in the digital asset ecosystem and the digital asset management investment products and advisory services.

We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Ability to work across teams whose skill sets span blockchain infrastructure, smart contracts, trading, and risk management.

The GIA and VA Asset Modeling & Development team of Quant R&D has primary responsibilities for modeling all of the GIAs assets, ensuring and maintaining critical Portfolio Management dependent operations for the GIA and Variable Annuity programs, and generating ALM pricing and risk analytics for all of Quantitative Portfolio Managements hedging programs.

Bring a deep understanding of the digital asset management industry and relevant adjacencies; provide thorough competitive and market information, analytics, and insights to enable strategic decision-making.

The successful candidate will join the Model Risk Management and Validation Group (MRM&V). Responsibilities: Perform / lead independent review and model validation of wholesale credit risk and compliance risk models including PD, LGD, Loss forecasting, AML, Fair Lending, Fraud Detection, and other business or operational related models.

Audit teams work alongside the Treasury, Finance, and Risk divisions to conduct reviews of the Company's liquidity risk management, interest rate risk management, asset liability management practices.

The research group’s investment analysis process includes a combination of fundamental and quantitative analysis of securitized deal structures and collateral as well as interpreting market data, trends, and economic forecasts.

Provide thought leadership on designing data capabilities for investment and asset management business functions across front-office, middle-office and back-office workflows. Experience dealing with a range of financial market related data sets and asset classes.

We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.

3 - 5 years relevant experience in Asset Management. AMINV US Asset Management. BlackRock Aladdin knowledge and experience: reporting and order management tools, as well as understanding permission structure.

Analyze, report and mitigate key financial risks such as liquidity risk, market risk and interest-rate risk. The incumbent develops and implements complex solutions to (balance sheet management, investment portfolio management, asset liability management or capital management department priorities.

These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.

Strong data analysis and model risk management skills. This role will also work closely with the third lines of defense, global regulatory authorities and report to various senior level governance fora on the effectiveness of firmwide model risk management.