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Weekend Data Analyst Fintech Jobs in Ohio (NOW HIRING)

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Strong BFSI, Payments, FinTech, or Fraud/Risk domain experience, including fraud detection, AML, KYC, transaction monitoring, and risk analytics. * Expertise in Data Architecture, Data Modeling, Data ...

Design and analyze experiments to measure causal impact of pricing decisions * Debug models that ... fintech. * Demonstrated ability to operate autonomously on ambiguous problems without requiring ...

... emerging fintech products, as well as creator tools like Rumble Studio and Rumble Ad Center. As ... Strong analytical skills, with the ability to use data and insights to inform positioning, pricing ...

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

We are seeking an experienced and visionary Principal Data Scientist to help scale our Data Science ... Experience in payments, fintech, or financial services  * Knowledge of payment systems ...

Pay: $60k - $85 a year Fully Remote • Weekends Off • Opportunities for Growth • Work-Life ... Primary support contact and expert for the SSRS and other data virtualization tools * Enhances ...

Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus. * Ability to problem solve and make progress with minimal ...

Exhibit meticulous attention to detail for quick and accurate data gathering and analysis. * Demonstrate flexibility by working weekends and from home when applicable. * Ability to travel as needed.

Exhibit meticulous attention to detail for quick and accurate data gathering and analysis. * Demonstrate flexibility by working weekends and from home when applicable. * Ability to travel as needed.

Exhibit meticulous attention to detail for quick and accurate data gathering and analysis. * Demonstrate flexibility by working weekends and from home when applicable. * Ability to travel as needed.

Shift, Weekend & PRN differential About Fisher-Titus: Fisher-Titus proudly serves the greater Huron ... The financial analyst should possess those skills needed and have experience in forecasting, data ...

Showing results 41-60

Weekend Data Analyst Fintech information

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

What are the most commonly searched types of Data Analyst Fintech jobs in Ohio? The most popular types of Data Analyst Fintech jobs in Ohio are:
What job categories do people searching Weekend Data Analyst Fintech jobs in Ohio look for? The top searched job categories for Weekend Data Analyst Fintech jobs in Ohio are:
What cities in Ohio are hiring for Weekend Data Analyst Fintech jobs? Cities in Ohio with the most Weekend Data Analyst Fintech job openings:

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Skill: Sr Data Engineering Architect Fraud Domain
Must Have Technical/Functional Skills:
  • Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms.
  • Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions.
  • Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting.
  • Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices.
  • Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives.

Qualifications & Skills:
  • 10+ years of experience in Data Engineering, Data Warehousing, Analytics, or Data Management.
  • 3+ years of experience as a Data Architect designing enterprise-scale data solutions.
  • Strong BFSI, Payments, FinTech, or Fraud/Risk domain experience, including fraud detection, AML, KYC, transaction monitoring, and risk analytics.
  • Expertise in Data Architecture, Data Modeling, Data Lake/Lakehouse, Data Warehouse, ETL/ELT, Data Governance, and Metadata Management.
  • Hands-on experience with SQL, Python, Spark/PySpark, Databricks, Kafka, Airflow, Snowflake, and modern cloud platforms.
  • Knowledge of real-time streaming, event-driven architectures, MDM, Data Mesh, and ML/AI-enabled data platforms.
  • Strong leadership, stakeholder management, communication, and solution design skills.

Roles & Responsibilities:
  • Define and implement enterprise data architecture, data models, governance standards, and technology roadmaps for fraud and risk analytics platforms.
  • Design and oversee scalable batch and real-time data pipelines, data lakes/lakehouses, data warehouses, and cloud-based data solutions.
  • Partner with Fraud, Risk, Compliance, and Business teams to deliver solutions supporting fraud detection, transaction monitoring, AML, behavioral analytics, and regulatory reporting.
  • Ensure data quality, security, lineage, compliance, performance optimization, and adherence to architecture best practices.
  • Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to drive data modernization initiatives.

Salary Range - $100,000-$120,000 a year
TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.