

Zillion Technologies, Inc.
Quantitative Risk Modeler / Machine Learning - Hybrid Role - Locals Only
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Risk Modeler with a long-term contract, paying $85-$95/hr. Requires 10+ years of experience or a doctorate in mathematics, physics, or statistics. Must be a U.S. citizen, Green Card holder, or EAD holder. Hybrid: 3 days onsite in Vienna, VA.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
760
-
ποΈ - Date
April 28, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Vienna, VA
-
π§ - Skills detailed
#Mathematics #Visual Studio #ML (Machine Learning) #Database Design #Data Modeling #Security #Plotly #Cybersecurity #Data Mining #Statistics #Python #SQL (Structured Query Language) #Jupyter #Visualization
Role description
"Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client".
This is Direct Banking Client Requirement
Reach Saakshi Sahni - 703-955-1070
Email: saakshi(at)zilliontechnologies(dot)com // 7039551070
Quantitative Risk Modeler
Hybrid role - 3 Days a week onsite in Vienna, VA // 2 Days remote
Duration: Long term ongoing contract with NO end date
Direct Banking Client
$85-$95/hr
"Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client".
Compensation
$85-$95/hr
β’ This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
Benefits
We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k).
Job Description:
10+ years experience and/or doctorate degree required
Qualifications:
Doctorate degree in mathematics, physics, or statistics.
Advanced knowledge in probabilistic theory, game theory, dynamic systems theory and related disciplines.
Strong understanding of database design, data mining, and data modeling concepts.
Proven ability to develop effective data visualizations strategies.
Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Excellent understanding of machine learning, statistical modeling, and algorithms
Desired:
Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields.
Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis.
Experience working with data visualization applications like PowerBI and Plotly.
Experience working with Cybersecurity Frameworks and related data.
Please send qualified resumes directly to : saakshi(at)zilliontechnologies(dot)com // 7039551070
Thanks,
Saakshi Sahni
Zillion Technologies Inc.
Director - Talent Acquisition
Email: saakshi(at)zilliontechnologies(dot)com // 703-955-1070
"We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."
"Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client".
This is Direct Banking Client Requirement
Reach Saakshi Sahni - 703-955-1070
Email: saakshi(at)zilliontechnologies(dot)com // 7039551070
Quantitative Risk Modeler
Hybrid role - 3 Days a week onsite in Vienna, VA // 2 Days remote
Duration: Long term ongoing contract with NO end date
Direct Banking Client
$85-$95/hr
"Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client".
Compensation
$85-$95/hr
β’ This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
Benefits
We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k).
Job Description:
10+ years experience and/or doctorate degree required
Qualifications:
Doctorate degree in mathematics, physics, or statistics.
Advanced knowledge in probabilistic theory, game theory, dynamic systems theory and related disciplines.
Strong understanding of database design, data mining, and data modeling concepts.
Proven ability to develop effective data visualizations strategies.
Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Excellent understanding of machine learning, statistical modeling, and algorithms
Desired:
Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields.
Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis.
Experience working with data visualization applications like PowerBI and Plotly.
Experience working with Cybersecurity Frameworks and related data.
Please send qualified resumes directly to : saakshi(at)zilliontechnologies(dot)com // 7039551070
Thanks,
Saakshi Sahni
Zillion Technologies Inc.
Director - Talent Acquisition
Email: saakshi(at)zilliontechnologies(dot)com // 703-955-1070
"We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."






