Top Tech Jobs & Startup Jobs

The Senior Manager, Investment Accounting and Reporting oversees investment performance reporting, GAAP and Statutory accounting, and supports large-scale projects. This role involves managing a team, maintaining internal controls, and fostering cross-functional collaboration.

As a Credit Risk Analyst, you will develop credit risk models, assess model performance, and collaborate with various teams to support Enact's credit risk strategies.

The Analytics Data Modeler designs and maintains data models, ensuring accurate data integration and supporting business intelligence initiatives through effective communication and collaboration.

Lead architecture, design, development, and maintenance of ServiceNow products, custom apps, and integrations. Ensure platform stability, performance, security, and governance. Collaborate with stakeholders to translate requirements, mentor junior developers, perform code reviews and testing, document solutions, and recommend platform improvements.

The Mainframe Solution Architect will oversee the software engineering aspects of the CLOAS system, leading technical sessions, ensuring compliance with standards, and collaborating with teams to integrate solutions and support ongoing enhancements.

The AI Cloud Engineer will design and operate AI solutions on AWS, supporting GenAI platform development, engineering robust capabilities, and collaborating across teams to optimize cloud infrastructure and services.

As a Data Scientist Manager, lead analytics initiatives, develop advanced models, and partner with leaders to drive data insights into business strategy.

The Data Analyst Manager will enhance business strategy by leveraging analytic insights, managing complex data sets, and collaborating with senior leaders on critical initiatives in Long-Term Care.

As a Senior Java Developer, you will lead project builds, develop solutions, manage testing, troubleshoot production issues, and collaborate with distributed teams to enhance customer service technology.

Lead and mentor multiple Databricks-focused data engineering teams, define engineering best practices and reusable frameworks, drive CI/CD and performance/cost optimization, build and support analytical and streaming pipelines, and collaborate with architects, product owners, and cross-functional partners to deliver high-quality data products.