Top Hybrid Data & Analytics Jobs in Dallas, TX
Lead and build a best-in-class risk modeling team, implement modeling strategies aligned with company objectives, apply advanced machine learning approaches to solve complex business problems, monitor model performance, and present insights to leadership.
Operations Analyst II role at Apex Fintech Solutions focusing on corporate actions processing, data analysis, risk management, client communication, regulatory compliance, process improvement, and cross-functional collaboration. Requires 2-3 years' experience in the financial industry and a Bachelor's Degree or equivalent work experience.
Responsible for leading efforts in integration concepts and methodologies, developing integration solutions, and collaborating with cross-functional teams to improve processes and communication between systems and applications.
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Partner with cross-functional team to deliver customer-oriented data science solutions. Utilize Python and various technologies to analyze large volumes of data and build machine learning models. Excellent technical skills and ability to think creatively are required. Minimum of 2 years experience in data analytics and machine learning.
As a Data Scientist Lead - Vice President, you will work with stakeholders to inform strategic decisions using data analysis. Responsibilities include communicating with senior stakeholders, developing insights through various analytic methods, and ensuring data integrity and security. Required qualifications include a Ph.D. or M.Sc. in a scientific field and experience in producing advanced analytics work with an emphasis on optimization.
As a Programmer/Analyst at KUBRA, you will provide support, maintenance, troubleshooting, and basic programming duties to ensure client satisfaction. You will handle client communication technology, research issues, report to developers, and contribute to continuous improvement efforts.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring data solutions align with business requirements, and choosing toolsets for data storage facilities within budget. Must have at least 15 years of experience, with a minimum of 3 years in data systems AI and ML. Responsibilities include leading cross-functional teams and translating business requirements into data models.
Seeking a Senior Risk Analyst to forecast loss and support credit strategies for recreational vehicle portfolio. Responsibilities include forecasting loss, identifying drivers of loss, stress testing credit portfolio, and presenting findings to senior management. Requirements include a BS degree in a quantitative field, 3+ years of credit analysis experience, proficiency in Python, SQL, and Excel, and strong communication skills.
Design, develop, and maintain metrics, reports, and analyses to drive key decisions and process improvements. Work closely with Supply Chain teams in forecasting analytics, inventory placement, and customer experience optimization. Extract and load data from various sources, adopt best practices in reporting and analysis, respond to high priority requests, and improve reporting processes.
Responsible for streamlining and automating global ESG data collection, analysis, and reporting. Collaborate on technology solutions and manage relationships across Blackstone Real Estate network. Develop QA/QC processes, respond to information requests, and provide industry insight on sustainability. Bachelor's degree and 5 years of business experience required.
Top hybrid Companies in Dallas-Fort Worth, TX Hiring Data + Analytics Roles
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