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Remote Fintech Risk Management Jobs in Webster, MA

Ameresco

Assistant General Counsel

Framingham, MA · On-site +1

$212K - $306K/yr

Development and implementation of risk management strategies, including transaction structure ... Compensation may vary by work location, including remote arrangements. We disclose salary ranges ...

ABB

Strategic Segment Proposal Engineer

RI · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... Initiate risk reviews with leadership and serve as the primary contact for the risk manager when ...

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Remote Fintech Risk Management information

See Webster, MA salary details

$14

$31

$76

How much do remote fintech risk management jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote fintech risk management in Webster, MA is $31.41, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $40.10 per hour, depending on experience, location, and employer.

What is a remote fintech risk manager?

A Remote Fintech Risk Manager is a professional who identifies, assesses, and mitigates financial and operational risks for fintech companies while working remotely. Their responsibilities include developing risk management strategies, ensuring compliance with regulations, analyzing data to detect potential threats, and advising on risk-related matters. This role requires strong analytical skills, familiarity with financial regulations, and the ability to communicate risk findings to stakeholders. Working remotely, these managers rely on digital tools to monitor risks and collaborate with global teams.

What are the key skills and qualifications needed to thrive as a remote fintech risk manager?

To excel in Remote Fintech Risk Management, you need a solid understanding of financial risk assessment, regulatory compliance, and data analysis, usually supported by a degree in finance, economics, or a related field. Familiarity with risk management software, analytics tools like SQL or Python, and certifications such as FRM or CFA is highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for identifying risks and collaborating with cross-functional teams remotely. These skills ensure the identification and mitigation of potential threats, regulatory adherence, and the safeguarding of fintech operations in a dynamic digital environment.

How does a remote fintech risk manager typically collaborate with cross-functional teams to address emerging risks?

Remote Fintech Risk Management professionals often work closely with product, compliance, IT, and data analytics teams through virtual meetings and collaborative platforms. They are responsible for identifying, assessing, and communicating potential risks while ensuring new fintech products and services comply with regulatory standards. Success in this role relies on proactive communication, leveraging shared digital tools, and participating in regular risk review sessions. Building strong virtual relationships and maintaining transparency are key to effectively mitigating risks in a fast-paced, remote environment.

What is the difference between Remote Fintech Risk Management vs Remote Compliance Analyst?

AspectRemote Fintech Risk ManagementRemote Compliance Analyst
CredentialsCertifications like FRM, CRC, or similar risk management credentialsCertifications such as CAMS, CFE, or compliance-specific credentials
Work EnvironmentFocus on risk assessment, fraud detection, and financial security in fintech firmsFocus on regulatory adherence, policy implementation, and compliance monitoring
Industry UsageCommon in fintech startups, digital banking, and online payment platformsPrevalent in financial institutions, fintech companies, and regulatory bodies

Remote Fintech Risk Management professionals primarily assess and mitigate financial risks within fintech companies, while Remote Compliance Analysts focus on ensuring adherence to regulations and policies. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What cities near Webster, MA are hiring for Remote Fintech Risk Management jobs?

Cities near Webster, MA with the most Remote Fintech Risk Management job openings:

Remote Fintech Risk Management jobs near you

Data Scientist (Hybrid Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 27 days ago

Job description

Our Personal Lines team is currently seeking a Data Scientist in our Worcester, MA office on a hybrid arrangement or fully remote work location. This is a full-time, exempt role.

Join a Team Where Data Drives Strategy:

At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative Data Scientist to join our Personal Lines Analytics team.

In this role, you'll apply advanced analytics, machine learning, and statistical modeling techniques to solve meaningful business challenges across our Personal Lines organization. You'll work alongside business leaders, product managers, actuaries, and data scientists to transform complex data into actionable insights that influence underwriting, pricing, customer experience, and growth strategies.

This is an opportunity to work with large and complex datasets, develop production-ready analytical solutions, and help shape the future of a data-driven insurance organization.

Why Join The Hanover?

  • Work on high-impact analytics projects that directly influence business strategy and outcomes.
  • Partner with experienced data scientists, actuaries, and business leaders across the organization.
  • Access large-scale datasets and real-world business challenges that offer meaningful analytical opportunities.
  • Grow your technical and business skills while developing expertise in predictive analytics and machine learning.
  • Be part of a collaborative team that values innovation, continuous learning, and knowledge sharing.
  • Help modernize how a leading insurance organization uses data to serve customers and manage risk.

 

IN THIS ROLE, YOU WILL:

  • Develop and deploy predictive models, machine learning solutions, and statistical analyses to solve business problems.
  • Explore large datasets to identify patterns, trends, opportunities, and risks that drive business performance.
  • Partner with Personal Lines leaders and cross-functional stakeholders to understand business objectives and translate them into analytic solutions.
  • Design experiments, conduct exploratory analyses, and evaluate model performance to generate actionable insights.
  • Research and apply emerging data science methods, tools, and technologies to enhance business outcomes.
  • Communicate findings and recommendations through compelling visualizations, presentations, and storytelling tailored to technical and non-technical audiences.
  • Collaborate with data engineers and analytics partners to develop scalable, efficient, and sustainable analytical solutions.
  • Contribute to a culture of continuous learning, innovation, and analytical excellence.

 

WHAT YOU NEED TO APPLY:

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics, or a related quantitative field.
  • 2-6 years of experience applying data science, machine learning, advanced analytics, or statistical modeling in a business environment.
  • Experience using Python and/or R for data analysis and model development.
  • Strong foundation in statistical analysis, predictive modeling, machine learning, and data mining techniques.
  • Experience working with large datasets and relational databases.
  • Ability to translate business questions into analytical approaches and communicate results effectively.
  • Strong problem-solving skills and intellectual curiosity.

Preferred Qualifications

  • Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Experience building and deploying machine learning models in production environments.
  • Familiarity with cloud-based analytics platforms and modern data science workflows.
  • Insurance, financial services, or other risk-based industry experience.
  • Experience with data visualization and storytelling tools.

This job posting provides cursory examples of some of the job duties associated with this position. The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform. 

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