Software Development Engineer (Big Data and ML) - FinTech
Amazon.com
Are you passionate about engineering innovations in Finance? Join our team of talented engineers as we redefine the financial world!
At Amazon's Finance Technology (FinTech) team, we build scalable, reliable, high-throughput, and low-latency data stores and AI/ML applications for liquidity management, financial exposure, and operational risk management. Our applications provide actionable predictions for Treasury, while our platform delivers datasets to evaluate the company's risk exposure and mitigation costs.
As a SDE in FinTech, you'll collaborate with machine learning scientists, software engineers, data engineers, product managers, and global finance stakeholders. You'll design and implement risk engines to calculate Amazon's risk profile and assess insurance costs. You'll also productize AWS SageMaker models, build machine learning pipelines, and create high-performing forecasting applications to help our finance teams achieve short-term and long-term financial goals.
As an SDE at Amazon, you'll design, develop, and launch core product features. You'll implement innovative ideas, raise the bar on operational excellence, software sustainability, and reliability. You'll influence product features, drive system architecture, and spearhead best practices for quality products. You'll own one or two dedicated workstreams and take them to completion. Additionally, you'll participate in our hiring process, helping to attract top talent and coach junior engineers to success.
About the team
* Our products are designed to optimize liquidity management, mitigate financial exposure and operational risks while enforcing controllership. Our primary customers are from Amazon’s Treasury teams although our services have extended to other groups such as Financial Planning and Accounting. Our solutions deliver machine learning backed solutions to forecast Amazon’s cash balances, make funding decisions, and take actions accordingly.
* Our entire team is located in Jersey Cit, NJ.
At Amazon's Finance Technology (FinTech) team, we build scalable, reliable, high-throughput, and low-latency data stores and AI/ML applications for liquidity management, financial exposure, and operational risk management. Our applications provide actionable predictions for Treasury, while our platform delivers datasets to evaluate the company's risk exposure and mitigation costs.
As a SDE in FinTech, you'll collaborate with machine learning scientists, software engineers, data engineers, product managers, and global finance stakeholders. You'll design and implement risk engines to calculate Amazon's risk profile and assess insurance costs. You'll also productize AWS SageMaker models, build machine learning pipelines, and create high-performing forecasting applications to help our finance teams achieve short-term and long-term financial goals.
As an SDE at Amazon, you'll design, develop, and launch core product features. You'll implement innovative ideas, raise the bar on operational excellence, software sustainability, and reliability. You'll influence product features, drive system architecture, and spearhead best practices for quality products. You'll own one or two dedicated workstreams and take them to completion. Additionally, you'll participate in our hiring process, helping to attract top talent and coach junior engineers to success.
About the team
* Our products are designed to optimize liquidity management, mitigate financial exposure and operational risks while enforcing controllership. Our primary customers are from Amazon’s Treasury teams although our services have extended to other groups such as Financial Planning and Accounting. Our solutions deliver machine learning backed solutions to forecast Amazon’s cash balances, make funding decisions, and take actions accordingly.
* Our entire team is located in Jersey Cit, NJ.
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