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Remote Risk Quant Jobs in Wakefield, MA (NOW HIRING)

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance ... D. in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent ...

Senior Structural Engineer

Wakefield, MA ยท On-site +1

$100K - $160K/yr

... two days remote). Dams in our clients' portfolios are in some of the most spectacularly scenic ... Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give ...

Senior Product Manager - Asset Insights

Boston, MA ยท On-site +1

$137K - $180.90K/yr

... reduce risk and improve build quality. We serve customers in the solar, wind, insurance ... You are fluent in quantitative reasoning: you've built measurement frameworks, designed experiments ...

Senior Product Manager - Asset Insights

Boston, MA ยท On-site +1

$137K - $180.90K/yr

... reduce risk and improve build quality. We serve customers in the solar, wind, insurance ... You are fluent in quantitative reasoning: you've built measurement frameworks, designed experiments ...

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Remote Risk Quant information

See Wakefield, MA salary details

$103.3K

$178.9K

$273.6K

How much do remote risk quant jobs pay per year?

As of May 30, 2026, the average yearly pay for remote risk quant in Wakefield, MA is $178,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,800.00 and $209,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Risk Quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What are some common challenges faced by Remote Risk Quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are Remote Risk Quants?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What cities near Wakefield, MA are hiring for Remote Risk Quant jobs? Cities near Wakefield, MA with the most Remote Risk Quant job openings:
Principal Data Scientist

Principal Data Scientist

BitSight

Boston, MA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss.
Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis.
  • We invented the cyber ratings industry in 2011
  • Over 3000 customers trust Bitsight
  • Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote

We are hiring a visionary Principal Data Scientist in a critical senior technical leadership role, to define and execute the future of our ML and AI strategy. Idea candidate is a practitioner with extensive ML/AI product development experience who can accelerate our technological advantage, guide high-stakes cross-functional efforts, and directly influence Bitsight's long-term business and technical strategy. Specifically, this role will be in charge of designing and deploying advanced, production-grade ML/AI applications within our AI-driven asset attribution and Graph of Internet Assets (GIA) data engine, leveraging advanced graph technology and ML/AI models to discover complex organization and asset relationships and map internet-connected assets at a global scale.
Responsibilities:
  • Own the ideation and execution of high-impact ML/AI initiatives that directly advance Bitsight's product strategy and technical roadmap.
  • Design, build, and deploy production-grade ML models and automation systems that support critical business features.
  • Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering, training, evaluation, deployment, monitoring, and automated feedback and retraining loops.
  • Serve as the principal architect for scalable, high-performance ML/AI components within our cloud-based distributed systems.
  • Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation.
  • Drive the integration of ML/AI outcomes, translating complex findings into clear, actionable product decisions for engineering and business stakeholders.
  • Establish and promote best practices for ML/AI development, model operations, and data-quality standards.
  • Mentor technical contributors across teams, elevating technical quality and accelerating development.
  • Provide leadership in communicating complex findings and decisions to technical and non-technical stakeholders, upholding Bitsight's documentation-driven culture.

Requirements:
  • M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent practical experience.
  • Extensive experience (8+ Years for Principal level) delivering ML/AI-powered product features from concept to production.
  • Expertise in Python, SQL, distributed compute environments, and cloud platforms.
  • Demonstrated ability to lead complex ML/AI initiatives driving business impact.
  • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
  • Proven capability to bring structure to ambiguous problem spaces and drive them toward actionable, high-impact outcomes.

Preferred:
  • Experience with advanced ML techniques such as deep learning, GNNs, anomaly detection, or probabilistic modeling.
  • Experience defining or influencing ML/AI practices and strategies across the business, particularly for Principal-level candidates.
  • Background in cybersecurity, threat intelligence, or large-scale network analytics.

Belonging & InclusionBitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.
Open-minded. If you got to this point, we hope you're feeling excited about the job description you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Bitsight's mission and can contribute to our team in a variety of ways.
Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email recruiting@bitsight.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
Additional Information for United States of America Applicants:
Bitsight is committed to compliance with all fair employment practices regarding citizenship and immigration status.
Bitsight will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Qualified applicants with criminal histories will be considered for employment consistent with applicable law.
This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.
The anticipated hiring base salary range for this position is US$180000 to $205000 annually for US-based employees. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations, is based on a full-time work schedule, and is Bitsight's good faith estimate as of the date of this posting. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.In addition to base salary, this role is eligible for participation in a bonus or commission plan and an equity grant. Bitsight also offers a competitive benefits package, including but not but limited to medical, dental, and vision insurance; paid parental leave; flexible time off; a 401(k) plan with employee and company contribution opportunities; life and disability insurance; and tuition reimbursement.