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Remote Risk Quant Jobs in California (NOW HIRING)

BNY

Vice President, Model Risk Management

Los Angeles, CA · On-site +1

$129K - $179K/yr

The Bank of New York Mellon seeks Vice President, Model Risk Management II in Los Angeles, CA, to ... quantitative methods in the assigned area. Remote work may be permitted within a commutable ...

Qcells

Counterparty Risk Analyst (Financial)

Irvine, CA · 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 ...

Waymo

Insurance Risk Manager

Mountain View, CA · On-site +1

$158K - $194K/yr

... related quantitative field. We prefer: * Professional designations such as CPCU, ARM, or ARe ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Insurance Risk Manager

San Francisco, CA · On-site +1

$158K - $194K/yr

... related quantitative field. We prefer: * Professional designations such as CPCU, ARM, or ARe ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

BNY

Vice President, Model Risk Management

Los Angeles, CA · On-site +1

$129K - $179K/yr

The Bank of New York Mellon seeks Vice President, Model Risk Management II in Los Angeles, CA, to ... quantitative methods in the assigned area. Remote work may be permitted within a commutable ...

Turing

Remote Finance Analyst

San Francisco, CA · On-site +1

$100 - $200/hr

... quant, investment banking, private equity, corporate finance, accounting, and others. If you enjoy ... risk management, etc.) based on your domain of expertise. * Excellent English written communication.

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

... quantitative analysis, Machine Learning, Statistical Modeling including large-scale data ... Domain experience in financial services, with exposure to credit lending, credit risk modeling, and ...

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

Vice President, Model Risk Management

BNY

Los Angeles, CA • On-site, Remote

$129K - $179K/yr

Full-time

Posted 3 days ago

Job description

Job Description

The Bank of New York Mellon seeks Vice President, Model Risk Management II in Los Angeles, CA, to contribute to highly visible enterprise-wide model development function in the organization. Make estimates that are a key input to management decisions and are reported to Senior Management and the Board of Directors on a regular basis. Execute enterprise standards for model validation. Responsible for leading work to identify and evaluate model risk as well as proposed controls to manage that risk. Investigate the weaknesses of a framework and setting the scope and designing tests for a validation effort, appropriate to that framework. May work in one of five disciplines, each responsible for a different type of modeling: 1) Credit Risk Modeling 2) Treasury Modeling 3) Market Risk Modeling 4) Pricing Modeling 5) Forecasting. Execute enterprise standards for model validation, by setting the scope of a validation effort. Design the tests and review activities necessary to evaluate a model. Evaluate the strengths and weaknesses of a model's conceptual framework to identify situations where a model may become less useful. Review risks and formulate the proposed controls into a plan of action for management. Provide technical direction, accuracy and soundness of quantitative methods in the assigned area. Remote work may be permitted within a commutable distance from the worksite.

REQUIREMENTS: Master’s degree, or foreign equivalent, in Financial Mathematics, Finance, Business Analytics, Statistics, Econometrics, or a related field, and two (2) years of experience in the job offered or in a related quantitative occupation. Two (2) years of experience must include: Performing quantitative modelling, numerical analysis, and computational methods using programming languages including C/C++, C#, Java, FORTRAN, MATLAB, SAS as well as mathematical or statistical software packages; Performing financial modeling techniques, including value-at-risk type of models, interest rate models, risk quantification and forecast models, stochastic calculus for model evaluation, and model risk identification; Using data summary and visualization, hypothesis testing, estimation, regressions, time series analysis, and machine learning; and Conducting independent research, analyzing problems, developing numerical experimentation and testing, producing results, and assessing complex financial models including in-depth examination of model assumptions, methodologies, and strengths and weaknesses.

Qualified applicants please apply online at https://bnymellon.eightfold.ai/careers and utilize reference code #72772. Please indicate “referral source – advertisement – WEB.”

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary/range for this position is expected to be $129,500.00 - $179,000.00 per year at the commencement of employment. Base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 

This position is at-will, and the Company reserves the right to modify the base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. 

BNY is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans.

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