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Top Financial Services Data & Analytics Jobs in Seattle, WA
Fintech • Mobile • Software • Financial Services
The Senior Data Scientist will analyze data to develop credit risk strategies for lending products, collaborating with cross-functional teams to drive performance outcomes and mitigate risks.
Top Skills:
ExcelPythonSQLTableau
eCommerce • Fintech • Payments • Software • Financial Services
The Senior Fraud Analyst will analyze fraud patterns, build dashboards, collaborate on fraud detection models, and influence strategy using data insights.
Top Skills:
PythonRSQLTableau
Reposted Yesterday
Big Data • Cloud • Fintech • Financial Services • Conversational AI
The role involves client reporting, investor support, marketing collateral preparation, technology enhancement efforts, and project management within BlackRock's private market analytics team.
Top Skills:
MS OfficePythonVBA
Featured Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Lead Model Risk Management efforts by challenging and validating machine learning models for fraud detection, collaborating on framework implementation, and ensuring compliance with audits.
Top Skills:
PysparkPythonScikit-LearnSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Conduct analysis on ambiguous problems, guide data metrics ownership, lead code reviews, and ensure statistical rigor in data science projects.
Top Skills:
PythonSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Staff Data Scientist, you will develop analytics models, test product metrics, and synthesize data insights to support strategic initiatives for the Coinbase Wallet team.
Top Skills:
PythonSQL
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Data Scientist II will perform product analyses, design experiments, and enhance data infrastructure to influence decision-making at Coinbase.
Top Skills:
PythonSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Develop, test and support full-stack data solutions, utilizing various programming languages and cloud technologies, while collaborating with Agile teams.
Top Skills:
AWSCassandraDatabricksEmrGCPHadoopHiveJavaKafkaLinuxMapreduceAzureMongodbMySQLPythonScalaSnowflakeSparkSQLUnix
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Scientist Manager, you'll drive business decisions using machine learning and advanced analytics to enhance customer value and growth.
Top Skills:
AWSCondaH2OPythonSparkSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead client engagements in data science, diagnose needs, conduct analyses, create forecasts, and translate findings into actionable strategies. Manage projects and mentor junior members.
Top Skills:
AnalyticsData Quality AssuranceData Visualization ToolsETLExcelGCPJIRAPower BIPowerPointPredictive AnalyticsPythonRegressionRelational DatabasesSQLStatistical ModelsStatisticsTableauVisual Basic
Artificial Intelligence • Cloud • Fintech • Professional Services • Software • Analytics • Financial Services
The Director of Data Science will lead the data science team, develop strategic initiatives, oversee machine learning operations, and ensure collaboration across departments while promoting best practices in data utilization.
Top Skills:
BigQueryMlopsPythonPyTorchScikit-LearnSnowflakeTensorFlow
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
As a Senior Data Scientist, you will develop advanced models for pricing and underwriting, collaborate with various teams, and enhance AI/ML solutions for the company.
Top Skills:
AIAWSBayesian MethodsMlMlopsSnowflake
Fintech • Mobile • Social Impact • Financial Services
As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.
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