Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems ... fintech industry * Demonstrated proficiency in relevant tools and platforms, including:
Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems ... fintech industry * Demonstrated proficiency in relevant tools and platforms, including:
... fintech. Life at Galois: People are the foundation of Galois's success. As an employee-owned ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis
... fintech. Life at Galois: People are the foundation of Galois's success. As an employee-owned ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis
Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems ... services or fintech industry * Proficiency in tools in the following areas: * Scripting and ...
Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems ... services or fintech industry * Proficiency in tools in the following areas: * Scripting and ...
Senior Credit Risk Manager - Cards
Virginia, MN · On-site
$110 - $140/hr
We're building one of the world's leading fintech companies and are off to a strong start: * One of ... data science, product, engineering, and capital markets to drive meaningful impact across the ...
Senior Credit Risk Manager - Cards
Virginia, MN · On-site
$110 - $140/hr
We're building one of the world's leading fintech companies and are off to a strong start: * One of ... data science, product, engineering, and capital markets to drive meaningful impact across the ...
Director, USDC Application Product
Minneapolis, MN · On-site +1
$243K - $254K/yr
Partner with Marketing and Data Science on attribution, referral/viral mechanics, and paid/organic ... Experience in fintech, payments, wallets, or consumer finance products * Familiarity with crypto ...
Director, USDC Application Product
Minneapolis, MN · On-site +1
$243K - $254K/yr
Partner with Marketing and Data Science on attribution, referral/viral mechanics, and paid/organic ... Experience in fintech, payments, wallets, or consumer finance products * Familiarity with crypto ...
Adobe Analytics Engineer
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
Minneapolis, MN · On-site
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
Minneapolis, MN · On-site
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Senior Credit Risk Manager
Virginia, MN · On-site
$175 - $250/hr
You'll work horizontally across Credit, Data Science, Product, Engineering and Capital Markets to ... S. personal loans, ideally in FinTech* Familiarity with underwriting strategy, risk models, and ...
Senior Credit Risk Manager
Virginia, MN · On-site
$175 - $250/hr
You'll work horizontally across Credit, Data Science, Product, Engineering and Capital Markets to ... S. personal loans, ideally in FinTech* Familiarity with underwriting strategy, risk models, and ...
Adobe Analytics Engineer
Minneapolis, MN · On-site
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Adobe Analytics Engineer
Minneapolis, MN · On-site
$86K - $114K/yr
Provide deep expertise in FinTech analytics tools and personalization technologies, including CJA ... Robust knowledge of gathering data with client-side approaches to better understand our customers ...
Head of Credit - International Cards
Virginia, MN · On-site
$180 - $320/hr
We're building one of the world's leading fintech companies and are off to a strong start:One of ... managementCollaborate with Data Science teams on model development, enhancement, and ...
Head of Credit - International Cards
Virginia, MN · On-site
$180 - $320/hr
We're building one of the world's leading fintech companies and are off to a strong start:One of ... managementCollaborate with Data Science teams on model development, enhancement, and ...
Senior Product Manager
Virginia, MN · On-site
$140 - $190/hr
We're building one of the world's leading fintech companies and are off to a strong start: * One of ... Getting there means bringing Credit, Growth, Design, Data Science and Compliance with you ...
Senior Product Manager
Virginia, MN · On-site
$140 - $190/hr
We're building one of the world's leading fintech companies and are off to a strong start: * One of ... Getting there means bringing Credit, Growth, Design, Data Science and Compliance with you ...
Enterprise Architect (IT)
Minnetonka, MN · On-site +1
$102K - $208K/yr
Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...
Enterprise Architect (IT)
Minnetonka, MN · On-site +1
$102K - $208K/yr
Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...
Enterprise Architect (IT)
Minnetonka, MN · On-site +1
$70.25 - $90.75/hr
Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...
Enterprise Architect (IT)
Minnetonka, MN · On-site +1
$70.25 - $90.75/hr
Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...
Advanced degree in Mathematics, Statistics, Decision Science or Quantitative Analysis, with Systems ... retail, fintech or consulting with a consumer data analytics focus. * 3+ years of project ...
Advanced degree in Mathematics, Statistics, Decision Science or Quantitative Analysis, with Systems ... retail, fintech or consulting with a consumer data analytics focus. * 3+ years of project ...
Senior Product Manager, Noetica Financial Services
Eagan, MN · Hybrid
$129K - $170K/yr
About You: * 5+ years of product management experience in a B2B data, analytics, or fintech ... Bachelor's degree in Business, Finance, Computer Science, or equivalent experience #LI-GK1 New ...
Senior Product Manager, Noetica Financial Services
Eagan, MN · Hybrid
$129K - $170K/yr
About You: * 5+ years of product management experience in a B2B data, analytics, or fintech ... Bachelor's degree in Business, Finance, Computer Science, or equivalent experience #LI-GK1 New ...
With responsibility spanning business, application, data, infrastructure, cloud, and emerging ... A bachelor's degree in Computer Science, Information Systems, Business, or a related field. A ...
With responsibility spanning business, application, data, infrastructure, cloud, and emerging ... A bachelor's degree in Computer Science, Information Systems, Business, or a related field. A ...
With responsibility spanning business, application, data, infrastructure, cloud, and emerging ... A bachelor's degree in Computer Science, Information Systems, Business, or a related field. A ...
Quick apply
With responsibility spanning business, application, data, infrastructure, cloud, and emerging ... A bachelor's degree in Computer Science, Information Systems, Business, or a related field. A ...
Galois tackles the hardest problems in computer science. Our mission is to assure trust in critical ... data, Galois develops technology to guarantee the trustworthiness of systems where failure is ...
Galois tackles the hardest problems in computer science. Our mission is to assure trust in critical ... data, Galois develops technology to guarantee the trustworthiness of systems where failure is ...
Bachelor's degree in relevant field (e.g., Computer Science, Engineering, Business, Finance, or ... Intellectual curiosity about emerging banking technology, fintech innovation, and platform ...
Bachelor's degree in relevant field (e.g., Computer Science, Engineering, Business, Finance, or ... Intellectual curiosity about emerging banking technology, fintech innovation, and platform ...
Fintech Data Scientist information
See Minnesota salary details
$36.7K - $50.9K
2% of jobs
$50.9K - $65K
3% of jobs
$65K - $79.2K
6% of jobs
$79.2K - $93.4K
9% of jobs
$97.9K is the 25th percentile. Wages below this are outliers.
$93.4K - $107.5K
15% of jobs
The median wage is $117K / yr.
$107.5K - $121.7K
22% of jobs
$129.5K is the 75th percentile. Wages above this are outliers.
$121.7K - $135.8K
32% of jobs
$135.8K - $150K
3% of jobs
$150K - $164.1K
4% of jobs
$164.1K - $178.3K
1% of jobs
$178.3K - $192.5K
2% of jobs
$36.7K
$120.2K
$192.5K
How much do fintech data scientist jobs pay per year?
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 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 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.
Is data science good for fintech?
Is fintech a high paying career?
What are the most commonly searched types of Fintech Data Scientist jobs in Minnesota?
The most popular types of Fintech Data Scientist jobs in Minnesota are:
What are popular job titles related to Fintech Data Scientist jobs in Minnesota?
For Fintech Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Fintech Data Scientist jobs in Minnesota look for?
The top searched job categories for Fintech Data Scientist jobs in Minnesota are:

Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
45th of 151 rated financial services
Job description
Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Work you'll do
As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:
- Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development
- Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
- Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
- Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
- Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
- Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
- Present findings and insights to stakeholders in a clear and compelling manner
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
The team
Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 4+ years' experience in data architecture, data management, or data engineering
- 2+ years of experience in the financial services or fintech industry
- Demonstrated proficiency in relevant tools and platforms, including:
- Programming/Scripting: Python, SQL, R, Java, Scala, etc.
- Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
- Data Management: Collibra, Alation, Informatica, Alteryx, etc.
- Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
- Data Visualization: Tableau, PowerBI, Qlik, etc.
- Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- Experience and familiarity with:
- Banking regulatory reporting tools (e.g., Axiom)
- Data integration and migration projects in financial services
- Data governance best practices, especially in regulatory contexts
- Strong analytical skills and experience with managing and manipulating large datasets
- Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
- Demonstrated ability to solve complex problems in fast-paced environments
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
- Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
- 3+ years of experience in the financial services or technology industry
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100
Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Work you'll do
As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:
- Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development
- Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
- Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
- Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
- Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
- Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
- Present findings and insights to stakeholders in a clear and compelling manner
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
The team
Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 4+ years' experience in data architecture, data management, or data engineering
- 2+ years of experience in the financial services or fintech industry
- Demonstrated proficiency in relevant tools and platforms, including:
- Programming/Scripting: Python, SQL, R, Java, Scala, etc.
- Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
- Data Management: Collibra, Alation, Informatica, Alteryx, etc.
- Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
- Data Visualization: Tableau, PowerBI, Qlik, etc.
- Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- Experience and familiarity with:
- Banking regulatory reporting tools (e.g., Axiom)
- Data integration and migration projects in financial services
- Data governance best practices, especially in regulatory contexts
- Strong analytical skills and experience with managing and manipulating large datasets
- Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
- Demonstrated ability to solve complex problems in fast-paced environments
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
- Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
- 3+ years of experience in the financial services or technology industry
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US