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Remote Risk Quant Jobs in New Jersey (NOW HIRING)

Qcells

Counterparty Risk Analyst (Financial)

Teaneck, NJ · On-site +1

$75K - $95K/yr

Remote work may be considered for exceptional cases. RESPONSIBILITIES * Perform due diligence and ... Excellent analytical, quantitative, and Excel skills; experience working with SFDC and data ...

ABB

Business Development Manager

NJ · Remote

... quantitative sales targets for products, systems, and/or services to ensure sustainable order ... Remote #LI-Remote The selected candidate can be remote, based in the United States. Our Team ...

The Altus Group

Consultant, Advisory

Morristown, NJ · On-site +1

Includes presenting sets of primarily quantitative raw data in a schematic form. The visuals used ... risk tasks * Experience with client deliverable life cycle and proven record of successful ...

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

Senior Quant Engineer (Open to Remote)

Archgroup

Jersey City, NJ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

About the Role

Design and build quantitative technology solutions powering a systematic, data-driven investment platform for a $46bn global investment management function. Focused primarily on fixed income and credit markets while also supporting alternative investment strategies across the platform. Partner closely with portfolio managers, traders, quantitative researchers, risk managers, and investment operations teams to design and implement scalable tools for portfolio construction, trading, analytics, and investment decision-making. Role demands a highly hands-on senior engineer who can develop robust data pipelines, analytics frameworks, and front-oce workflows, consistently with best-practices across analytics teams at Arch. Contribute to the ongoing development of AIM's internal investment platform, including backend services and APIs supporting AIMI Native - the firm's internal web-based investment management interface. Reporting directly to the Head of Quant Engineering, with close collaboration across engineering and technology partners at AIM.

It is preferred, but not required, that candidates are willing and open to relocation to Bermuda. If not, this role is can sit remotely in the US, but candidates must be EST time zone based.

Job Responsibilities

  • Design and build front-oce quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies

  • Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors (ICE, Bloomberg, FactSet, Kamakura, LSEG, and others)

  • Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation

  • Design and implement daily trading order generation and portfolio management workflows, integrating quantitative tools with front-oce systems to streamline the investment process

  • Partner with portfolio managers and traders to translate investment workflows and business requirements into scalable technical solutions

  • Develop backend services and API interfaces for the AIMI internal investment platform, enabling seamless interaction between analytics systems and front-oce applications

  • Build scalable, maintainable Python-based analytics libraries and services following software engineering and quantitative development best practices

  • Ensure data quality, integrity, and consistency across all datasets used for portfolio construction, risk analysis, and trading decisions

  • Collaborate with quant researchers, risk, IT, and operations teams to deliver robust and scalable quantitative infrastructure across the investment platform

  • Contribute to building a best-in-class, data-driven investment technology platform supporting both fixed income and alternative strategies

  • Support the production environment of quantitative tools used by the investment team, ensuring reliability, transparency, and operational eciency

Skills and Qualifications

  • 10+ years of experience in quantitative engineering, financial engineering, or front-oce technology within asset management, hedge funds, financial institutions or other similarly data-driven entity

  • Strong hands-on Python programming skills, including production-quality analytics and data processing frameworks

  • Experience working with financial market data vendors such as Bloomberg, ICE, FactSet, Kamakura, LSEG, or similar large financial datasets

  • Deep experience in data ingestion, normalization, and large-scale data processing, preferably in financial markets environments

  • Solid understanding of fixed income and credit markets, including bonds, credit risk metrics, and portfolio analytics preferred

  • Experience designing and implementing portfolio optimization or simulation frameworks preferred

  • Track record building front-oce quantitative tools used by portfolio managers or traders

  • Familiarity with REST APIs and backend service development for internal applications and analytics platforms

  • Proven ability to collaborate with quant researchers, portfolio managers, risk teams, and technology groups in complex data-rich environments

  • Strong analytical, problem-solving, and engineering skills with the ability to translate business requirements into scalable technical solutions

  • Excellent communication skills - able to convey complex quantitative and technical concepts to investment professionals

  • Strong team player comfortable working across investment, research, and technology teams in a fast-paced environment

Education

  • Master's or Ph.D., or equivalent work experience, in a quantitative discipline: e.g., economics, finance, statistics, science, engineering

#LI-remote

#LI-AT1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$234,090 - $316,710/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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