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Senior Quantitative Developer Jobs in Beaverton, OR

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and ...

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All JobsQuantitative Developer JobsSenior Quantitative Developer JobsSenior Quantitative Developer Jobs in Beaverton, OR

Senior Quantitative Developer information

See Beaverton, OR salary details

$139.9K

$172.1K

$194.6K

How much do senior quantitative developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior quantitative developer in Beaverton, OR is $172,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,297.00 and $185,182.00 per year, depending on experience, location, and employer.

What is a senior quantitative developer?

A Senior Quantitative Developer is an experienced professional who combines advanced programming skills with deep knowledge of mathematical and statistical modeling to design, implement, and optimize complex financial algorithms and trading systems. They work closely with quantitative analysts and traders to translate mathematical models into efficient, production-ready code, often focusing on areas such as risk management, pricing, and market data analysis. In addition to strong coding abilities, typically in languages like C++, Python, or Java, they are expected to have expertise in financial markets, data structures, and performance optimization. Senior Quantitative Developers often mentor junior team members and contribute to the strategic direction of technology and model development within their firm.

What are the key skills and qualifications needed to thrive as a senior quantitative developer?

To thrive as a Senior Quantitative Developer, you need a strong background in mathematics, statistics, computer science, and financial theory, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or Java, and experience using quantitative libraries, databases, and version control systems are essential, alongside knowledge of relevant industry tools like MATLAB or R. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills for this role. These abilities enable effective development and implementation of quantitative models, ensuring robust financial analysis and supporting critical business decisions.

How does a senior quantitative developer typically collaborate with quantitative researchers and traders?

A Senior Quantitative Developer works closely with quantitative researchers to translate their mathematical models into robust, production-ready code. They also partner with traders to understand their workflow needs and ensure that trading systems are reliable, efficient, and responsive to market conditions. Effective communication is key, as the developer must bridge the gap between research insights and operational trading platforms. This collaboration often involves iterative feedback, rapid prototyping, and ongoing support to adapt systems to new strategies or market data.

What is the difference between Senior Quantitative Developer vs Quantitative Analyst?

AspectSenior Quantitative DeveloperQuantitative Analyst
Required CredentialsAdvanced degrees in math, finance, or computer science; programming skillsSimilar educational background; strong analytical skills
Work EnvironmentDevelops trading algorithms, implements models, collaborates with tech teamsPerforms data analysis, risk assessment, supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksAsset management firms, hedge funds, banks

The main difference is that Senior Quantitative Developers focus on building and implementing trading models and software, while Quantitative Analysts primarily analyze data and develop trading strategies. Both roles require strong quantitative skills, but the developer role emphasizes programming and system development, whereas analysts focus more on data analysis and research.

What are popular job titles related to Senior Quantitative Developer jobs in Beaverton, OR?

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What job categories do people searching Senior Quantitative Developer jobs in Beaverton, OR look for?

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Senior Quantitative Developer jobs near you

Senior Principal Risk Analyst

BizTek People, Inc. | APA International Placement Consultants

Tualatin, OR • On-site

Contractor

Re-posted 18 days ago

Job description


Title: Senior/Principal Risk Analyst
Duration: 12 Months
Location: Tualatin, OR - Local Preffered
Open to Remote caniddate from PST or MST time zones.
Description
PGE seeks a Senior or Principal Risk Analyst with energy analytics, quantitative analysis, and fundamentals experience to analyze risk and develop actionable business intelligence for effectively navigating dynamic energy markets. This highly visible position will be at the forefront of modelling and analyzing the evolving future of the power sector and guiding the company's approach to risks and opportunities related to energy infrastructure and market investments. with strong growth possibilities within the organization.
Responsibilities include but are not limited to:
  • Leading Power Operations RiskManagement running and analyzing operational report. Work with PowerOperation on assessing trading risk limits and assessments. development ofnew quantitative models, validating and/or enhancing existing models, andassisting internal partners and staff in understanding and using themodels for effective risk analysis and decision making.
  • Providing analytical fortrading, portfolio management, origination, energy market risk, creditrisk and finance; interpreting and sharing qualitative insights andfeedback from commercial teams into quantifiable terms to help improveperformance.
  • Independently initiating andanalyzing surrounding optimization in competitive markets, stochasticsimulations, and the interplay between zero- or low-marginal costresources and traditional energy generators.
  • Identifying and implementingeffective approaches to quantitatively evaluate energy infrastructurebenefits and costs, as well as risks and risk mitigation.
  • Design complex valuation andprice models for structured products including tolling agreements, PPAagreements, full requirements/load-following deals, shaped products,revenue puts, exotic options (swaptions, basket options, look-backoptions, heat rate options, etc.), weather derivatives, unit contingency,etc.
  • Understand risk metricsmodels such as Value at Risk (VaR), Mark to Market, Gross Margin at Risk(GMaR).
  • Proposing and implementingportfolio and asset optimization frameworks. Will build bespoke frameworksfor exploring, designing, and deploying systematic portfolio strategies,including generation asset optimization, natural gas storage andtransportation optimization, cross-commodity hedge optimization (optimalhedge ratio) and FTR hedging/bidding optimization.
  • Leading quantitative researchand modeling tasks related to macro industry trends, energy markets,ancillary services, capacity markets and commercial activities using toolssuch as artificial intelligence, machine learning, game theory, supply anddemand and price simulation models, probabilistic models, option valuationtools, and portfolio characteristic desk tools.
  • Provide statistical analysisand quantitative tools for trading and hedging purposes, including modelcommodity data for specific markets and produce ad hoc analysis based onshort-term market developments.
  • Communicating effectively andinfluentially to diverse audiences about modeling methodologies, analysesand results in business practical terms that include a focus on the "why."
  • When needed, providing expertwitness testimony for market and regulatory proceedings.
  • Make decision using theexisting Risk Management Policy and Procedure framework.

Requirements
Requirements
  • BS or MS discipline(engineering, statistics, science discipline, economics).
  • How many years of experienceare you looking for?: 3 - 4 + years in a similar role within the energyindustry
  • Have a broad background inenergy and quantitative risk analysis in North America with a focus onpower, natural gas, and renewables.
  • BS or MS - discipline(engineering, statistics, science discipline, economics, and finance).
  • Bring 3 - 4 or more years ofexperience in a quantitative role within the energy industry or directlyrelated academic setting with application in the energy industry.Experience with wholesale power and/or gas markets and quantitative energytrading experience is preferred.
  • Have developed expertise inat least one of the following techniques: time series analysis, advancedregression and econometric techniques, advanced optimization techniquesleveraging commercial solvers.
  • Strong competence incommunication
  • Experience with ProductionCost Modeling
  • Advanced Microsoft OfficeSuite skills (Word, PowerPoint, Excel).
  • Ability to communicate andwork with different organizations outside of risk management.
  • Experience with Endur ETRM isa plus.

Top 3 Must-Haves (Hard and/or Soft Skills):
1. Experience with Production Cost Modeling
2. Experience with wholesale power and/or gas markets
3. Experience with Risk Management System
Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1. Experience with Endur ETRM
2. Advanced Microsoft Office Suite skills (Word, PowerPoint, Excel
3. Experience to translate numbers to actionable plan for coworkers

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