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Financial Engineer (AVP), truView truView® is a multi-asset-class analytics platform offered as a service to clients of State Street. Initially developed to serve hedge funds within State Street's IFS subsidiary, truView now serves a wide variety of institutional investors, including pension funds, asset managers, and insurance companies, in addition to a growing portfolio of hedge fund clients. The system currently processes approximately 10 million positions per day.
The Position truView's risk measurements are done using a full repricing methodology, requiring a large array of valuation models for cash and derivative instruments. The Financial Engineering team is responsible for the development, maintenance, and ongoing support of these models. These responsibilities extend to representations of trades, the market data appropriate for valuing them, analytics output by the model for aggregation with other instruments, and the overall performance of the risk model. As part of its responsibilities, the FE team communicates with internal and external stakeholders-senior management, operations staff, model validators, and client representatives-to ensure that models are documented, understood, and updated where appropriate based on client requests or market changes.
The Work A member of the FE team works on a variety of projects and tasks, including: Proof of concept for new modeling methods Definition and evaluation of required market data Prototyping of new or enhanced models Formulations of model specs for implementation by developers Testing of new model implementations Production support of new and existing models Communication with internal and external stakeholders on modeling choices
Those with AVP positions within the team generally start with well defined, focused responsibilities in a few areas, which then naturally grow in scope, eventually leading to a leadership role in product strategy, formulating improved approaches that are practical and scalable. While the position does not initially come with management responsibilities, a successful new hire can expect, as his or her responsibilities expand, to mentor one or more junior team members, eventually transitioning to a more formal management and leadership role.
Qualifications Graduate degree in finance, financial engineering, statistics, econometrics or similar 3+ years in quantitative risk-related positions, including arbitrage-free valuation models Extensive familiarity with industry standard risk analytics and stress testing methods Communications skills appropriate for support of coworkers located in a variety of global locations Comfort with VBA and SQL, familiarity with C++/C#, Python, R Excellent problem solver willing to work independently Strong focus on quality and on addressing client needs
Desirable Extensive experience with interest rate derivatives, extending from vanilla to more exotic structures