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As a Software Engineer III, you will enhance the customer experience by designing, developing, and maintaining innovative software solutions. You will collaborate with Product Management and Architecture teams through all phases of the agile development life cycle to drive McDonald's digital innovation forward.
As a Senior Software Engineer at Roblox, you will enhance the C# and .NET development experience, optimize performance at scale, and establish best practices for C# development across the company, all while supporting a large community of developers in an innovative digital platform.
As a Software Engineer II, you will develop core backend capabilities for the Stavvy platform, enhancing user experience by simplifying workflows and integrating user-facing elements. You will collaborate with cross-functional teams, mentor peers, and participate in agile development processes to drive impactful changes in the mortgage industry's transaction processes.
SeatGeek is looking for Software Engineers to join their R&D team. Responsibilities include running a modern architecture, shipping code to production, solving performance problems, building user interfaces, and evaluating new technologies. The tech stack includes Python, Go, C#, .NET Core, Postgres, Redis, Elasticsearch, AWS, Gitlab, React+Typescript, Swift, and Kotlin.
The Senior Full Stack Software Engineer will design and maintain web-based applications, develop data streaming pipelines, and utilize a cloud-first architecture. Responsibilities include mentoring junior engineers and collaborating on new product features while supporting Vestmark's core values.
As a Solutions Engineer at Liberty Mutual, you will guide the development of technical standards and architectures, mentor junior engineers, and promote a culture of continuous improvement within an agile environment. You will collaborate closely with business partners to create innovative solutions that modernize the application stack and drive efficiency.
As a Solutions Engineer, you'll lead the development of technical and product standards, guide teams in bringing new rating programs to market while modernizing applications, and mentor junior engineers within an agile environment.
As an Associate in the Risk Analytics and Modeling team, you will apply analytical and quantitative skills to develop or validate models related to credit risk, market risk, fraud detection, and anti-money laundering. You will engage in advanced data analytics to drive business insights and support clients in complex problem-solving.
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As an Experienced Associate in the Risk Analytics team at PwC, you will apply your quantitative and analytical skills to develop and validate models in areas like credit risk and fraud detection. You'll leverage advanced analytics and data manipulation tools, working within a dynamic environment to deliver insights and drive decision-making for clients.
As an Associate in the Risk Analytics and Modeling team at PwC, you will use quantitative and analytical skills to develop models for risk assessment including credit and market risk, fraud detection, and anti-money laundering. Responsibilities involve applying advanced data analytics techniques and collaborating in a dynamic environment to deliver insights for clients.
As an Associate in PwC's Risk Analytics and Modeling team, you will use your analytical skills to develop and validate models related to credit risk, market risk, and fraud detection. Your responsibilities include leveraging advanced analytics techniques, statistical modeling, and data manipulation to solve complex business problems for clients.
As an Associate in the Risk Analytics and Modeling team, you will leverage quantitative skills to develop and validate statistical and financial models, focusing on areas like credit risk and fraud detection. You'll work with diverse datasets and advanced analytical techniques to provide insights and support decision-making for clients.
As an Associate in the Risk Analytics and Modeling team, you will apply your quantitative and analytical skills to develop or validate various models in credit risk, market risk, fraud detection, and anti-money laundering. You'll utilize advanced data analytics techniques to extract insights from data and help clients with modeling and decision-making.
As an Associate in the Risk Analytics and Modeling team, you will utilize your quantitative and analytical skills to develop and validate models for credit risk, market risk, and fraud detection while collaborating with clients to deliver data-driven insights through advanced analytics techniques.
As an Associate in the Risk Analytics and Modeling team, you will apply analytical skills to develop or validate models in credit risk, market risk, and fraud detection. Responsibilities include utilizing advanced data analytics and modeling techniques and understanding business requirements. You will also work collaboratively with diverse teams and support clients by delivering quality insights from large datasets.
As a Financial Crimes Unit Associate, you'll utilize your analytical skills to develop or validate statistical, financial, and AI/machine learning models addressing credit risk, market risk, and fraud detection. The role involves data manipulation and visualisation to support business insights and decision-making, requiring a proactive approach and the ability to adapt to varied client needs.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop or validate models related to credit risk, market risk, and fraud detection. You will work with a variety of clients, utilizing statistical and machine learning techniques for data analysis and decision-making.
As an Associate in Risk Analytics, you'll leverage analytics and modeling skills in real environments, focusing on financial engineering and AI/machine learning models for credit and market risk, fraud detection, and anti-money laundering. You'll collaborate with diverse teams, apply advanced analytics techniques, and contribute to problem-solving in financial contexts.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop and validate statistical, financial engineering, and AI/machine learning models, specifically focusing on credit risk, market risk, and fraud detection. You'll leverage advanced data analytics to drive insights for clients, contributing to data-driven decision-making and operational optimization.
As a software engineer in the Risk Analytics team, you will utilize advanced analytical skills to develop and validate financial models, including AI and machine learning applications for risk management and fraud detection. Your role entails effective data manipulation, analysis, and collaborating with diverse teams to deliver quality solutions to clients.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop or validate statistical, financial engineering, and AI models in areas like credit risk and fraud detection. You will leverage advanced analytics to extract insights from data and support decision-making.
As an Associate in the Risk Analytics and Modeling team at PwC, you will apply your quantitative and analytical skills to develop or validate models for credit risk, market risk, and fraud detection. You will leverage advanced data analytics techniques to help clients solve business problems and drive value through data-driven decision making.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative, modeling, and analytical skills to develop or validate models for credit risk, market risk, and fraud detection. You will leverage data analytics to solve complex business problems and enhance decision-making for clients.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop and validate models related to credit risk, market risk, fraud detection and anti-money laundering. You will utilize advanced data analytics techniques and work with various programming and data tools to solve complex problems for clients.
As an Associate in the Risk Analytics and Modeling team, you will apply quantitative and analytical skills to develop and validate statistical and machine learning models related to risk management such as fraud detection and credit risk. You will work with large datasets to drive insights and enhance operational efficiency for clients.
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