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Freelance Mathematical Modeling Jobs (NOW HIRING)

C, C++, structured software development and/or Object Modeling Design, digital data processing ... Strong math aptitude and algorithm product development highly desired. * Leadership experience ...

C, C++, structured software development and/or Object Modeling Design, digital data processing ... Strong math aptitude and algorithm product development highly desired. * Leadership experience ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

Test scalable data pipelines or models for real-time applications * Ensure that analytic tasks and ... Bachelor's degree or higher in a quantitative field such as statistics, mathematics, econometrics ...

Be Seen First

The Role This is a dedicated, 1099 contractor role designed for a successful freelance media buyer ... You will own the refinement of this hybrid model, ensuring we aren't just "buying traffic," but ...

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Freelance Mathematical Modeling information

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$14

$47

$132

How much do freelance mathematical modeling jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for freelance mathematical modeling in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance mathematical modeling?

Freelance mathematical modeling involves using mathematical methods and computational techniques to solve real-world problems for clients on a project or contract basis, rather than as a full-time employee. Freelancers in this field may develop and analyze mathematical models for industries such as finance, engineering, healthcare, or data science. They often work independently, tackling problems like predicting trends, optimizing processes, or simulating complex systems. This role typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to communicate solutions effectively to clients.

What are the typical challenges faced by freelance mathematical modeling professionals when managing multiple projects?

Freelance mathematical modeling professionals often juggle several projects simultaneously, each with distinct objectives and timelines. A common challenge is prioritizing tasks efficiently while adapting to different clients' communication styles and expectations. Additionally, freelancers must ensure their models are both accurate and tailored to specific industry needs, which can require rapid learning and flexibility. Effective time management, clear client communication, and ongoing skill development are key to overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a Freelance Mathematical Modeler, and why are they important?

To thrive as a Freelance Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and experience with statistical analysis. Proficiency in programming languages (such as Python, MATLAB, or R), modeling software, and possibly certifications in data analysis or modeling are highly valuable. Excellent problem-solving abilities, communication skills, and adaptability help in understanding client needs and presenting complex results clearly. These skills are essential to deliver accurate, actionable models and maintain strong client relationships in a competitive freelance environment.

What is the difference between Freelance Mathematical Modeling vs Data Scientist?

AspectFreelance Mathematical ModelingData Scientist
CredentialsMathematical, statistical, or engineering degrees; often self-taught skillsDegree in computer science, statistics, or related fields; certifications like SAS, Python, R
Work EnvironmentIndependent, remote, project-basedCorporate, research labs, or consulting firms; often team-based
Industry UsageConsulting, research, specialized projectsTech, finance, healthcare, e-commerce
Search & Comparison IntentProject-based, specialized modeling tasksData analysis, predictive modeling, machine learning

Freelance Mathematical Modeling involves independent, project-specific work focusing on creating mathematical representations. Data Scientists typically work within organizations, applying statistical and machine learning techniques to analyze data. Both roles require strong analytical skills, but Freelance Mathematical Modeling emphasizes independent consulting, while Data Scientists often work as part of a team in corporate settings.

More about Freelance Mathematical Modeling jobs
What cities are hiring for Freelance Mathematical Modeling jobs? Cities with the most Freelance Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
What states have the most Freelance Mathematical Modeling jobs? States with the most job openings for Freelance Mathematical Modeling jobs include:
What job categories do people searching Freelance Mathematical Modeling jobs look for? The top searched job categories for Freelance Mathematical Modeling jobs are:
Infographic showing various Freelance Mathematical Modeling job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Portfolio Manager - Freelance AI Trainer

Mindrift

New York, NY

$60/hr

Part-time

Posted 10 days ago


Job description

Please submit your CV in English and indicate your level of English proficiency. 

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

  • Design and evaluate Quarterly Business Review scenarios - performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;
  • Write and grade underperformance explanation tasks where the correct answer is grounded strictly in fund documents, with no projections beyond what the manager's commentary actually states;
  • Create rebalancing test cases with full tax-impact math: cost basis, short-term vs. long-term capital gains, and alternatives to selling (redirecting contributions);
  • Build tax-loss harvesting scenarios that test the wash-sale rule in both directions - including the 30-day backward window and substantially identical securities across different fund families and tickers;
  • Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement;
  • Design ESG look-through scenarios where the fund label diverges from actual holdings due to subsidiary relationships or narrow exclusion methodologies;
  • Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, all-in cost comparisons against category benchmarks;
  • Author goal-projection scenarios that test whether the agent uses assumption-based language and never slips into commitment language when prompted to be reassuring;
  • Document test cases clearly with verified calculations, policy citations, and correct answers.

What we look for

This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:

  • Degree in Finance, Economics, Business Administration, Accounting, or related field - or equivalent professional experience; no specific degree is required if CFA charterholder status or comparable credentials are present;
  • 3+ years of experience managing portfolios or writing investment research in a fiduciary context (RIA, private wealth, asset management, family office, or bank trust);
  • Ability to compute time-weighted returns, attribution effects (Brinson framework), and portfolio-weighted expense ratios without assistance;
  • Practical knowledge of the wash-sale rule applied in both directions, tax-lot accounting methods (FIFO, specific identification, HIFO), and short- vs. long-term gain treatment;
  • Investment Policy Statement literacy - able to identify every constraint and flag conflicts between a proposed recommendation and the IPS;
  • Prospectus and fact-sheet reading discipline - able to distinguish what the marketing summary says from what the legal language actually says;
  • Excel modeling competence: assumptions in named cells, performance attribution models, tax-impact worksheets that update correctly;
  • CFA charterholder, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal - for this agent, credentials matter more than in other projects due to the precision the work requires;
  • FINRA Series 7, 65, or 66 license is a baseline positive signal; its absence on someone claiming significant advisory experience is a red flag;
  • Strong written English (C1+).

How it works 

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. 

Compensation 

On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.