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Overnight Fintech Data Scientist Jobs (NOW HIRING)

Plaid Inc

Data Scientist

New York, NY · On-site

$190K - $262K/yr

Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences.

New

loomis

Data Scientist

Suwanee, GA

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

loomis

Data Scientist

Suwanee, GA

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

loomis

Data Scientist

Suwanee, GA

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

loomis

Data Scientist

Suwanee, GA · On-site

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

loomis

Data Scientist

Suwanee, GA · On-site

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

loomis

Data Scientist

Suwanee, GA

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

Loomis

Data Scientist

Suwanee, GA · On-site

Function The Data Scientist will play a critical role in designing, scaling, and operationalizing advanced analytics and machine learning solutions across the company's FinTech platforms. This role ...

FIS

Data Scientist

Atlanta, GA · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

FIS

Data Scientist

Milwaukee, WI · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

Worldpay, Inc.

Data Scientist

Atlanta, GA

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

FIS

Data Scientist

Jacksonville, FL · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

Worldpay, Inc.

Data Scientist

Milwaukee, WI · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent ...

Worldpay, Inc.

Data Scientist

Jacksonville, FL

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... A voice in the future of fintech * Always-on learning and development * Collaborative work ...

New

gateless, Inc.

Cross-Sell Data Scientist

$145K - $165K/yr

Data Scientist - Consumer Lending Summary: Rate is seeking a Marketing Cross-Sell Data Scientist ... Monitor fintech and mortgage industry trends, consumer behavior, and regulatory considerations to ...

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Overnight Fintech Data Scientist information

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$165K

$243.5K

How much do overnight fintech data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for overnight fintech data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an overnight fintech data scientist?

Overnight Fintech Data Scientists are professionals who analyze financial data and develop models or algorithms for fintech companies during overnight shifts. Their work often involves monitoring and processing data streams, detecting anomalies, and ensuring the smooth operation of financial systems outside of standard business hours. These roles are critical for companies that operate globally or require 24/7 data oversight to manage risk, fraud, and real-time financial services. Overnight shifts may involve collaborating with international teams, troubleshooting urgent issues, and preparing reports for the next business day.

What are the key skills and qualifications needed to thrive as an overnight fintech data scientist?

To thrive as an Overnight Fintech Data Scientist, you need expertise in data analysis, statistical modeling, and programming languages such as Python or R, often backed by a degree in computer science, math, or a related field. Familiarity with fintech platforms, machine learning frameworks, and data visualization tools like Tableau, as well as experience with cloud computing systems, is typically expected. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills, especially when working independently during overnight shifts. These abilities ensure timely, accurate insights and support critical financial operations that may require rapid, data-driven decisions outside regular business hours.

What are the unique challenges faced by overnight fintech data scientists, and how can they manage them effectively?

Overnight Fintech Data Scientists often work outside of regular business hours to support real-time data analysis and maintain the integrity of financial systems during less staffed periods. A key challenge is addressing urgent data anomalies or security issues with limited immediate team support. To manage this, it's essential to have strong communication protocols, clear documentation, and access to robust monitoring tools. Additionally, collaborating asynchronously with day-shift teams and proactively sharing insights ensures smooth handovers and continuous improvement.

What is the difference between Overnight Fintech Data Scientist vs Fintech Data Analyst?

AspectOvernight Fintech Data ScientistFintech Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires programming skillsBachelor's degree in related field; focus on data analysis and reporting skills
Work EnvironmentTypically in tech-driven fintech firms, working on complex models and algorithmsOften in finance or banking sectors, focusing on data reporting and visualization
Employer & Industry UsageUsed in fintech companies for developing predictive models and algorithms overnightCommon in financial institutions for analyzing transaction data and generating reports

The Overnight Fintech Data Scientist specializes in developing advanced models and algorithms, often working overnight to process large datasets. In contrast, the Fintech Data Analyst focuses on interpreting data, creating reports, and supporting decision-making. Both roles require strong analytical skills but differ in technical depth and daily responsibilities.

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Overnight Fintech Data Scientist jobs near you
Infographic showing various Overnight Fintech Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Mountain View, CA • On-site

Projas Technologies, LLC
1 - 10 employees
Learn more about Projas Technologies, LLCexternal

Other

Re-posted 2 days ago

Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling

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