Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.
Top Skills:
AWSAzureCi/CdGitGCPLangchainNltkNoSQLPandasPythonSemantic KernelSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Developer, you'll lead the development of software solutions, manage a team, and ensure quality deliverables that meet client needs.
Top Skills:
.Net/C#Ai PromptingAngularAuthenticationCloud TechnologiesDevOpsMicro Front EndsMicro ServicesRest ApisSQL Server
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Data Engineer will design, develop, and maintain data platforms for self-driving car technology, manage data pipelines, ensure data reliability, and collaborate with stakeholders.
Top Skills:
Apache HadoopApache KafkaSparkAWSAzureGCPHexJSONParquetPower BIPythonSQLXMLYml
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.
Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What you'll be doing
- Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance
- Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Understand and apply proper risk framework to your analysis and modeling.
- Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
- Collaborate cross functionally to implement models and monitor outcomes
You'll bring the following required skills and experiences
- 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor
- An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc
- Credit and / or Fraud Risk modeling experience in consumer finance is nice to have
- Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
- Experienced in using Python for analysis and modeling
- Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
- Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
- Excellent cross-functional communication skills
- Ability to thrive in a fast-paced environment
We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!
About Varo
Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer.
As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.
Learn more about Varo by following us:
Facebook - https://www.facebook.com/varomoney
Instagram - www.instagram.com/varobank
LinkedIn - https://www.linkedin.com/company/varobank
Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Beware of fraudulent job postings!
Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information.
CCPA Notice at Collection for California Employees and Applicants:
https://www.varomoney.com/privacy-legal/
Varo Bank Charlotte, North Carolina, USA Office
Charlotte, NC, United States
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
