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Overnight Fintech Data Scientist Jobs (NOW HIRING)

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 ...

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 Armored US, LLC

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 ...

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 ...

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 ...

3B Staffing LLC

Data Scientist

Oakland, CA · Remote

$58/hr

Credit Risk Data Scientist Rate: $58 per hour on C2C Location: CA (remote) Contract Duration: 6 ... Experience in credit risk / lending or fintech domain * Deep understanding of credit risk modeling ...

Earnest

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Data Scientist Duties: * The Data Scientist at Earnest LLC in Oakland, CA will guide product ... Fintech sectors to drive informed decision-making and optimize business processes. This notice is ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

This role blends data science, customer analytics, financial analysis, and market insights to ... Experience with fintech, e-commerce, lending, or D2C businesses * Background in FP&A or consumer ...

Earnest Co

Data Scientist

San Francisco, CA · On-site +1

$194K/yr

Data Scientist Duties: * The Data Scientist at Earnest LLC in Oakland, CA will guide product ... Fintech sectors to drive informed decision-making and optimize business processes. This notice is ...

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All JobsFintech Data Scientist JobsOvernight Fintech Data Scientist Jobs

Overnight Fintech Data Scientist information

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$46K

$165K

$243.5K

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

As of Jul 26, 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 are the key skills and qualifications needed to thrive as an Overnight Fintech Data Scientist, and why are they important?

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 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.

What are Overnight Fintech Data Scientists?

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 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.
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% 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 ***

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

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Posted 27 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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