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Fintech Data Scientist Jobs (NOW HIRING)

Current

Senior Data Scientist

New York, NY · On-site

$170K - $220K/yr

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

Current

Senior Data Scientist

New York, NY

$170K - $220K/yr

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

NinjaHoldings

Data Scientist

They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and ... or FinTech • Marketing analytical experience Company : NinjaHoldings is a digital financial ...

Rain

Data Scientist

New York, NY · On-site

$50K/yr

This role is for a high agency Data Scientist who ensures data is useful and adopted, not just ... Experience in fintech, payments, card programs, or financial infrastructure. * Python proficiency ...

Kikoff

Senior Data Scientist

San Francisco, CA · On-site

About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Block

Data Scientist

Bodega Bay, CA · On-site

Reporting to the Sales Data Science lead, you'll own a mature subdomain of our Sales function and ... Familiarity with fintech, payments, or the SMB merchant space We value strong fundamentals and ...

New

CYNET SYSTEMS

Senior Data Scientist

Washington, DC · On-site

$65/hr

Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field. * 8+ ... Experience working in fintech, payments, banking, or fraud/risk environments. * Background in ...

Calliere

Product Data Scientist

Manhattan, NY · Hybrid

We're a fintech company focused on modernising how workers access and manage their pay, giving them ... Product Data Scientist \n \n \n \n \n \n We're hiring a Product Data Scientist to own the ...

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 ...

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 ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Rock Connections

Data Scientist

Detroit, MI

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Findigs

Data Scientist

New York, NY · On-site

We'd love to hear from you if you have: * 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred) * Strong Python ...

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All JobsFintech Data Scientist Jobs

Fintech Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do fintech data scientist jobs pay per year?

As of Jul 23, 2026, the average yearly pay for fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Fintech Data Scientist position, and why are they important?

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

More about Fintech Data Scientist jobs
What cities are hiring for Fintech Data Scientist jobs? Cities with the most Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Fintech Data Scientist jobs? States with the most job openings for Fintech Data Scientist jobs include:
What job categories do people searching Fintech Data Scientist jobs look for? The top searched job categories for Fintech Data Scientist jobs are:
Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

Current

New York, NY • On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

Senior Data Scientist
About Current
Current is a leading U.S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest-growing companies with nearly 6 million members. Headquartered in NYC, our results-driven environment empowers our team to build better products, grow faster, and have a direct impact on our mission to improve financial outcomes for our members.
About the Role
At Current, data is at the core of everything we do. As a Senior Data Scientist on the Data and Growth teams, you will focus on machine learning modeling to build predictive models that help us understand our customers better, improve user experience, and efficiently acquire and retain members. This is a hands-on role focused on solving complex problems, developing and deploying ML models, and driving data-driven decision-making.
Your day-to-day will involve analyzing, preparing, and structuring data; building and optimizing predictive models; leveraging clustering algorithms; and collaborating with cross-functional teams (Product, Engineering, Marketing) to integrate ML solutions into customer-focused strategies and processes.
Responsibilities
  • Design, develop, and deploy predictive classification and regression models, along with anomaly detection models and algorithms.
  • Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models.
  • Evaluate and optimize model performance using statistical and ML techniques.
  • Design and execute A/B tests to measure and validate model impact.
  • Perform customer segmentation using various clustering techniques.
  • Develop and implement model monitoring dashboards and establish model governance techniques.
  • Collaborate with Analytics, Product, Engineering, and Marketing teams to seamlessly integrate predictive models into workflows.
  • Work with the ML Engineering team to ensure efficient data pipelines and scalable model deployment.
  • Analyze diverse datasets to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
Qualifications
About You
  • 5+ years of experience in data science with a strong emphasis on machine learning modeling.
  • Proficiency in Python for data analysis and ML, with experience using libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
  • Expertise in SQL and working with large, complex structured and semi-structured datasets.
  • Strong understanding of core machine learning techniques, including logistic regression, gradient boosting, decision trees, and clustering methods.
  • Experience in feature engineering, model selection, and performance optimization.
  • Experienced in designing, executing, analyzing, and reporting on experiments.
  • Strong communication skills and ability to present findings to technical and non-technical stakeholders.
  • Master's or higher degree in Data Science, Computer Science, Statistics, or a related field is preferred.
Preferred Skills & Qualifications
  • Experience working in fintech, e-commerce, or other data-rich consumer-facing industries.
  • Familiarity with Google Cloud Platform (GCP) services, particularly Vertex AI and Dataflow, for scalable data processing and model training.
  • Experience with dbt for data modeling.
  • Familiarity with BigQuery or other MPP (Massively Parallel Processing) databases.
  • Experience using the Scala programming language for developing scalable and efficient data pipelines.
Benefits
  • Competitive salary
  • Stock options
  • 401(k) savings plan
  • Discretionary performance bonus program
  • Biannual performance reviews
  • Medical, Dental and Vision premiums covered at 100% for you and your dependents
  • Unlimited time off and paid holidays
  • Generous parental leave policy
  • Commuter benefits
  • Healthcare and Dependent care FSA benefit
  • Employee Assistance Programs focused on mental health
  • Healthcare advocacy program for all employees
  • Access to mental health apps
  • Team building activities
  • Our modern NYC based office with open floor plan, stocked kitchen, and catered lunches

This role has a base salary range of $170,000.00 - $220,000.00. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.

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