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Remote Risk Quant Jobs in Washington (NOW HIRING)

Parsons

Senior Data Scientist

Springfield, VA · Remote

Risk and Performance Analytics:Own the development and maintenance of sophisticated risk-scoring ... Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards ...

Linesight

Scheduling Lead

Washington, DC · Remote

$125K - $175K/yr

Have demonstrated quantitative risk assessment (QRA) experience on Data Center or life science ... This role will be primarily remote but the ideal candidate must be open to monthly travel to ...

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Remote Risk Quant information

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 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 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 is a remote risk quant?

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 are the most commonly searched types of Risk Quant jobs in Washington? The most popular types of Risk Quant jobs in Washington are:
What are popular job titles related to Remote Risk Quant jobs in Washington? For Remote Risk Quant jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Washington look for? The top searched job categories for Remote Risk Quant jobs in Washington are:
What cities in Washington are hiring for Remote Risk Quant jobs? Cities in Washington with the most Remote Risk Quant job openings:
Remote Risk Quant jobs near you

Senior Solution Architect and M&S Developer

LMI

Tysons, VA • Remote

Full-time

Posted 13 days ago

Job description

The Senior Full Stack and M&S Developer will support the development of large-scale digital products used to support supply chain, logistics, and sustainment efforts government clients. Successful applicant will be a senior member of the M&S development team that will lead and work with other developers to ensure development is on time, accurate, and meets mission requirements.

This role requires strong software development experience, analytical reasoning and quantitative skills, the ability to work collaboratively with senior and mid-level developers and subject matter experts, and the capacity to present findings clearly to senior DoD leaders and stakeholders.

Position is Remote with occasional travel to client site (~5%).


  • Serve as the primary integrator across platform engineering, data engineering, analytics, modeling and simulation, and supply chain subject matter expertise
  • Translate mission, business, and user needs into product requirements, backlog priorities, and delivery plans
  • Support the design, development, testing, and maintenance of fullstack web applications.
  • Architect, develop, test, and maintain new supply chain models related to inventory management, supplier risk, network optimization, and other logistics modeling
  • Lead a team of mid-level and junior developers and subject matter experts to answer project requirements and needs.
  • Coordinate with government, industry, and internal stakeholders to gather information, validate findings, and support recommended courses of action.
  • Help to ensure the platform continues to mature across enterprise data integration, application development, user experience, modeling and simulation, and decision-support capabilities

Required Qualifications

  • Master's degree in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
  • 7+ years of experience in supply chain, operations research, inventory management, industrial base analysis, technology assessments, logistics, acquisition support, intelligence analysis, or a related field.
  • 10+ years of experience using analytic tools such as Python, SQL, and Tableau to perform data exploration and analysis.
  • Experience with Cloud computing services such as AWS, and Azure
  • Experience leading small to medium size technical teams to deliver analytical products and analyses
  • Strong quantitative, analytical, and research skills.
  • Ability to synthesize complex information into clear findings, risk statements, and actionable recommendations.
  • Self-directed and detail-oriented, with the ability to complete assigned tasks, adapt to changing work efforts, and manage shifting priorities.
  • Availability for occasional travel (5%).
  • Active Secret Clearance

Preferred Qualifications

  • PhD in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
  • Experience developing in C++.
  • Experience with System Engineering tools such as Cameo, Ansys
  • Frontend application development using tools such D3.js, Angular, React, JavaScript.
  • Experience using Modeling and Simulation tools to run what-if scenarios and develop Courses of Action based on simulation output.
  • Experience with Predictive Maintenance for DoW clients.
  • Active Top Secret Clearance

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