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To learn more about CIBC, please visit What You’ll Be DoingAs a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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NET Software Engineer to support the hands-on development and design and modelling of new and exciting products on the portfolio management platform. This is a Greenfield development opportunity to support multi-asset portfolio management, asset allocation, portfolio forecast modelling, trading, performance analytics, exposure and liquidity modelling, risk modelling and reporting.
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Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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We are seeking full-stack hands-on engineers to join our Consumer Banking Risk Management Team. Engineers in this role will work closely with the business and various federation teams to model the required terms and events for banking products in the risk management systems.
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As a Lead Software Engineer at JPMorgan Chase within the Regulatory, Controls & Op Risk, (RCORT) Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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We’re seeking a future team member for the role of Director, AI / Machine Learning Software Engineer to join our AI HUB. Director, AI / Machine Learning Software Engineer Bring your ideas.
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As a Vice President, Senior AppBank Operations Software Engineer, you will be part of the Technology Division’s “Run-The-Bank” production management organization within Goldman Sachs.
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The Lead Software Engineer is responsible for leading the development and implementation of risk management systems, risk analytics platforms, and risk data infrastructure for the organization's trading and investment activities.
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To achieve this goal we develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.
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Ensuring Risk Management is effective utilizing feedback from validation, field service, post-market surveillance, manufacturing indications, CAPAs, HHAs, etc. Principal Software Design Assurance Engineer (Plymouth, MN hybrid)The Principal Software Design Assurance Engineer will support the development, qualification, and commercialization of innovative, highly reliable, life changing medical devices and associated software.
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This candidate must come from a quantitative finance background as they will build and scale one of the largest equities portfolios in the market by optimizing various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle.
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As a data engineer, you should have strong analytical skills and the ability to combine data from different sources to power machine learning that solves cybersecurity issues faced by diverse businesses today.
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The team works across full stack - from scalable backend services, distributed data processing systems to intuitive UX, along with potential opportunities in data science and machine learning space.
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