Top Tech Jobs & Startup Jobs

One Month AgoSaved
In-Office
Dallas, TX, USA
Senior level
Senior level
Fintech
Leads a software engineering squad through Agile development, from requirements analysis and architecture through deployment and production support. Designs scalable Java and AWS lending-platform solutions, contributes hands-on code, conducts design and code reviews, and drives modernization of automated testing and CI/CD practices. Collaborates with Product Management, architects, engineers, and the VP of Technology while improving squad performance and software quality.
Top Skills: AWSBitbucketCi/CdConfluenceDatadogGitGitGithub ActionsJavaJIRAKanbanMicroservicesMvcPostgresRestScrumSentrySpringSpring BootTest-Driven Development
One Month AgoSaved
In-Office
Dallas, TX, USA
Mid level
Mid level
Fintech
Own Braviant’s digital marketing strategy, budget, roadmap, and performance across its website, SEO/GEO, paid media, and acquisition channels. Manage Webflow updates, landing pages, analytics, dashboards, campaign optimization, creative production, A/B testing, and ROI reporting. Partner with Growth, Data, Legal, and Compliance to improve traffic, conversions, and acquisition efficiency while ensuring regulatory review. The role requires hands-on execution across marketing technology, content, paid advertising, and AI-driven search optimization.
Top Skills: Adobe ExpressAhrefsCanvaChatgptClaudeCSSFigmaGa4GeminiGoogle AdsGoogle Search ConsoleHTMLMeta Ads ManagerSemrushWebflow
Reposted One Month AgoSaved
In-Office
Dallas, TX, USA
50K-70K Annually
Senior level
50K-70K Annually
Senior level
Fintech
As a Senior Data Scientist, you will build predictive models for credit decisioning, analyze portfolio performance, and collaborate with teams to optimize loan strategies. This role focuses on driving credit quality and loss performance within the lending lifecycle.
Top Skills: Data Visualization ToolsExcelPythonSQL
Reposted 2 Months AgoSaved
In-Office
Dallas, TX, USA
Senior level
Senior level
Fintech
Hands-on role supporting the full credit risk lifecycle: build SQL/Python analyses, dashboards, vintage and loss forecasting, monitor portfolio metrics, evaluate originations and underwriting strategies, and translate A/B test results into recommendations for senior leadership.
Top Skills: PythonSQL
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