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Remote Financial Mathematics Jobs (NOW HIRING)

Fortis Financial

Be Seen First

Financial Account Manager

Austin, TX · Remote

$50K - $150K/yr

Comfortable working independently in a remote environment via Zoom and digital platforms. Dynamic ... You don't need a background in finance--we can teach you the math. We can't teach heart or hustle.

Upstart

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

... financial mathematics, statistics, or machine learning preferred but not required * History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person.

Addison Group

Senior Financial Analyst

Tysons, VA · Remote

$100K - $110K/yr

Remote Schedule: Monday-Friday | EST business hours Compensation: $100,000 - $110,000 / Annually ... Bachelor's degree in Finance, Accounting, Economics, Mathematics, Engineering, or related field ...

FIRST CITIZENS BANK

Financial Analyst

Mason City, IA · On-site +1

Mathematical Reasoning * Demonstrates the ability to choose the right mathematical methods or ... Remote work may be available upon supervisor approval. PHYSICAL AND MENTAL DEMANDS: * Position ...

Rainbook

Bachelor's Degree in Finance, Mathematics, Computer Science or related academic degree * 2+ years programming experience * Experience working with portfolio analytics solutions Employment Type ...

Foster Klima

Personal Financial Planner

Fargo, ND · On-site +1

$105K/yr

Remote Opportunity after training and licensing. No territory restrictions -- serve clients ... Exemplary math skills, communication skills, and relationship skills to support strong customer ...

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Remote Financial Mathematics information

What are the key skills and qualifications needed to thrive as a remote financial mathematician?

To thrive as a Remote Financial Mathematician, you need strong quantitative analysis skills, expertise in mathematical modeling, and a solid background in finance, typically supported by a degree in mathematics, finance, or a related field. Familiarity with programming languages (such as Python, R, or MATLAB), financial modeling software, and relevant certifications like CFA or FRM is valuable. Excellent problem-solving abilities, attention to detail, and effective remote communication skills set top professionals apart. These skills are crucial for accurately analyzing complex financial data, developing models, and collaborating with distributed teams to drive sound financial decisions.

What are some common challenges faced by professionals in remote financial mathematics roles, and how can they be overcome?

Professionals in remote financial mathematics roles often face challenges such as maintaining effective communication with team members, managing complex data securely, and staying updated with industry trends while working independently. Overcoming these challenges involves leveraging collaboration tools for regular check-ins, using robust cybersecurity practices to protect sensitive financial data, and participating in virtual conferences or online courses to keep skills current. Proactively scheduling meetings and creating a structured daily routine can also help foster productivity and teamwork in a remote environment.

What is a remote financial mathematician?

A Remote Financial Mathematician is a professional who applies mathematical theories and statistical techniques to analyze financial markets, assess risk, and solve complex problems in finance, all while working remotely. They often develop models for pricing derivatives, managing investments, or analyzing market trends using specialized software. This role typically involves working with financial institutions, investment firms, or fintech companies, and requires strong analytical skills, mathematical expertise, and proficiency with programming languages. Remote positions allow these professionals to collaborate with global teams and clients from anywhere with a reliable internet connection.
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What are the most commonly searched types of Financial Mathematics jobs? The most popular types of Financial Mathematics jobs are:
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Remote Financial Mathematics jobs near you
Infographic showing various Remote Financial Mathematics job openings in the United States as of July 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 100% Remote job distribution.

Senior Quantitative Finance Subject Matter Expert (AI Evaluation) | U.S.

Volga Partners

Remote

$55 - $60/hr

Other

Posted 20 days ago

Job description

Schedule & Availability
This is a project-based independent contractor opportunity supporting the evaluation of advanced AI models.
Current Shift Availability
  • IST: 9:00 AM - 6:00 PM IST
  • PST: 6:00 AM - 3:00 PM PST

At this time, the client is seeking consultants who can consistently commit to a full 8-hour shift during one of the schedules above.
While you are expected to be available for the full shift, there is flexibility in how those hours are completed. For example, you may work 4 hours, take a break (up to 2 hours), and then complete the remaining 4 hours.
As with many AI projects, work is assigned based on client demand. Although we anticipate strong project volume, available work may fluctuate over time. This engagement is best suited for consultants who are comfortable with a dynamic, project-based environment.
AI Evaluation Experience
Previous experience with AI evaluation, RLHF, prompt engineering, AI annotation, or LLM evaluation is strongly preferred. Candidates with exceptional finance expertise who are eager to learn structured AI evaluation workflows are also encouraged to apply.
Compensation
  • United States: $55-$60 USD/hour
  • Exceptional candidates may be considered for higher compensation based on experience and project requirements.

About the Role
We are seeking an experienced Quantitative Finance Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models.
This is not a traditional Investment Banking position.
Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry.
We are looking for professionals who are recognized as experts within their field-individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments.
Requirements
Domain Expertise
Candidates should demonstrate expert-level knowledge in one or more of the following:
  • Quantitative Finance
  • Financial Engineering
  • Financial Mathematics
  • Derivatives
  • Risk Modeling
  • Stochastic Calculus
  • Portfolio Optimization
  • Model Validation
  • Quantitative Research

What Makes a Strong Candidate
  • Built pricing models
  • Validated quantitative models
  • Published quantitative research

Key Responsibilities
  • Evaluate AI-generated financial analyses for technical accuracy, completeness, and quality of reasoning.
  • Identify factual inaccuracies, unsupported assumptions, logical inconsistencies, and calculation errors.
  • Review financial models, valuation methodologies, and investment analyses produced by AI.
  • Create, review, and refine finance-related prompts, benchmark responses, and evaluation datasets.
  • Apply detailed annotation guidelines consistently while maintaining exceptional quality standards.
  • Provide structured, actionable feedback that improves AI model performance.
  • Collaborate with Project Managers, Quality Assurance teams, and AI Researchers to improve evaluation methodologies.
  • Maintain productivity and quality expectations while working independently in a remote environment.

Required Qualifications
Candidates should possess:
  • Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory.
  • Strong knowledge of U.S. financial markets and corporate finance principles.
  • Exceptional analytical and critical thinking skills.
  • Advanced financial modeling and valuation capabilities.
  • Excellent written English communication skills.
  • Ability to independently evaluate complex financial analyses and articulate technical feedback.
  • Strong attention to detail and commitment to quality.

Preferred Qualifications
One or more of the following is highly desirable:
Professional Certifications
  • CFA (Completed or Candidate)
  • CPA
  • MBA (Finance)
  • Chartered Accountant (CA)
Professional Background
  • Investment Banking
  • Big Four Transaction Advisory
  • Valuation Advisory
  • Private Equity
  • Venture Capital
  • Corporate Development
  • Strategic Finance
Financial Platforms
  • Bloomberg Terminal
  • Capital IQ
  • FactSet
  • Refinitiv
  • PitchBook
AI Experience
Previous experience with any of the following is highly desirable:
  • AI Model Evaluation
  • Reinforcement Learning from Human Feedback (RLHF)
  • Prompt Engineering
  • AI Annotation
  • Large Language Model (LLM) Evaluation
  • AI Quality Assurance
  • Benchmark Dataset Development

Candidates without prior AI evaluation experience may still be considered if they possess exceptional domain expertise and strong analytical reasoning.
U.S. Market Knowledge
Candidates should demonstrate a strong working knowledge of:
  • SEC Filings
  • Public Equities
  • Financial Statements
  • Valuation Methodologies
  • Corporate Earnings
  • Macroeconomic Indicators
  • Investment Analysis
  • Capital Markets
  • Financial Ratios
  • Portfolio Concepts
  • Market Trends

What Makes a Strong Candidate
Successful candidates are often professionals who have:
  • Led complex financial analyses or valuation engagements.
  • Reviewed or approved the work of other finance professionals.
  • Supported or led high-profile transactions.
  • Presented recommendations to executive leadership, investment committees, or clients.
  • Built financial models used in strategic business decisions.
  • Applied expert judgment to evaluate complex financial scenarios.

Trial Gig (Required)
As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses.
Please note:
  • Successful completion of the Trial Gig is required before joining the production project.
  • Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig.
  • Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig.
  • Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.

About Volga Partners
Volga Partners is a global talent and consulting firm dedicated to building high-performing teams for the world's most innovative organizations. We specialize in identifying exceptional subject matter experts across finance, technology, healthcare, operations, and other highly specialized industries.
Our experts contribute to the development of advanced Artificial Intelligence by evaluating complex reasoning, improving model performance, and ensuring AI systems reflect the knowledge and judgment of experienced industry professionals.
Joining Volga Partners means becoming part of a global network of experts helping define the next generation of AI while working on challenging, project-based engagements with leading technology organizations.

Apply