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C++ Quant Developer Jobs in Oregon (NOW HIRING)

Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field ... drive C-level decision-making * Experience in coaching and mentoring junior team members on ...

$122K - $161K/yr

The Sr Software Engineer is primarily responsible for the performance and stability of critical ... Quantitative Aptitude : Strong numerical skills are essential for conducting quantitative analysis ...

Strong proficiency in actuarial software and programming tools (e.g., R, Python, SQL, Excel ... P&C products to perform complex, quantitative actuarial analyses. In addition, we'll count on you ...

... C-level executives. Knowledge, Skills and Abilities : AI & Machine Learning Expertise: * Strong ... D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative ...

... quantitative reporting). - 3+ publications in leading journals or conferences on AI/ML, edge ... Scientific programming for research (e.g., Python or C/C++) including experience with software ...

Work with the engineering management to ensure that the software development mechanisms are ... A stickler for metrics and quantitative, if not, qualitative measure of progress, launch success ...

Apply qualitative and quantitative analytical methods to evaluate operational effectiveness across ... Bachelor's degree in Computer Science, Engineering, Math, or equivalent. An additional 8 years of ...

OR · On-site

Partner cross-functionally with Product, Marketing, Finance, Operations, and Engineering to relay ... Proven ability to leverage quantitative and qualitative analysis to identify and activate new sales ...

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

Engineer and validate model features to support advanced marketing analytics initiatives, including ... C. COMPENSATION & BENEFITS : Stride, Inc. considers a person's education, experience, and ...

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C Quant Developer information

What is a C++ Quant Developer?

A C++ Quant Developer is a specialized software engineer who builds and maintains quantitative trading models, tools, and infrastructure for financial institutions using the C++ programming language. Their work involves implementing algorithms for pricing, trading, and risk management, often in high-frequency or low-latency environments. They collaborate closely with quantitative analysts ('quants') to translate mathematical models into efficient, reliable code. This role requires strong programming skills, a solid understanding of mathematics and finance, and the ability to optimize code for performance-critical applications.

What are the key skills and qualifications needed to thrive as a C++ Quant Developer, and why are they important?

To excel as a C++ Quant Developer, you typically need strong programming skills in C++, a solid foundation in mathematics or quantitative finance, and at least a bachelor's degree in a technical field such as computer science, mathematics, or engineering. Familiarity with financial libraries, low-latency trading systems, and version control tools like Git is common, and proficiency in UNIX/Linux environments is often required. Exceptional problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies enable developers to design robust, efficient trading algorithms and collaborate effectively with quantitative researchers and traders in high-stakes financial environments.

What are some common challenges faced by C++ Quant Developers when implementing trading algorithms in a live environment?

C++ Quant Developers often face challenges related to optimizing code for ultra-low latency and high reliability, as even minor inefficiencies can impact trading performance. Debugging and testing algorithms in a live environment is complex due to the need for accuracy, speed, and managing large volumes of data under real-time constraints. Collaboration with quantitative analysts, traders, and infrastructure teams is essential to ensure that models are not only mathematically sound but also robust and scalable in production. Staying updated with the latest advancements in both C++ and financial technology is also crucial for success in this role.

Will AI replace C++ devs?

AI is unlikely to fully replace C++ developers, as their expertise in performance-critical systems, algorithm optimization, and low-level programming remains essential. Instead, AI tools can assist C++ developers by automating repetitive tasks and enhancing productivity, allowing them to focus on complex problem-solving and system design. Continuous learning and adapting to new technologies are important for C++ developers to stay relevant in evolving environments.

Are C++ developers still in demand?

C++ developers remain in demand in industries such as finance, gaming, and high-performance computing, where efficiency and speed are critical. Skills in algorithms, multithreading, and familiarity with development tools like Visual Studio or GCC enhance employability in this field.

What is the salary of a quant developer in C++?

A C++ quant developer typically earns between $100,000 and $200,000 annually, with experienced professionals in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and proficiency in algorithms, data structures, and financial modeling is highly valued.

What Does a C Quant Developer Do?

The duties of a C++ quantitative developer involve financial software development using the C++ programming language. In many cases, other traders or Quant professionals write prototype code for financial institutions in a programming language such as Python or R. This prototype code is then translated into C++ by a quantitative developer. Qualifications to become a quantitative developer include a bachelor’s degree in financial engineering, computer science, or a closely related field.

Is C++ needed for quant?

C++ is a core programming language for quantitative developers because of its high performance and efficiency in processing large datasets and complex calculations. Many quant roles require strong C++ skills, especially in high-frequency trading and risk management systems, though some roles may also use Python or other languages for modeling and analysis. Proficiency in C++ is often considered essential for senior quant developer positions.

What is the difference between C++ Quant Developer vs Quantitative Analyst?

AspectC++ Quant DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming certificationsDegree in Finance, Economics, or Mathematics; often CFA or FRM certifications
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on software developmentFinancial institutions, asset management; focus on data analysis and modeling
Employer & Industry UsagePrimarily in quantitative trading and algorithm developmentRisk management, investment analysis, and strategy formulation

The main difference is that C++ Quant Developers focus on building and optimizing trading systems using C++, while Quantitative Analysts analyze data and develop models to inform trading strategies. Both roles require strong quantitative skills, but their daily tasks and focus areas differ significantly.

What are popular job titles related to C++ Quant Developer jobs in Oregon? For C++ Quant Developer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for C++ Quant Developer jobs? Cities in Oregon with the most C++ Quant Developer job openings:
What are popular job titles related to C++ Quant Developer jobs in OR? For C++ Quant Developer jobs in OR, the most frequently searched job titles are:
Principal Analyst, Growth Marketing

Principal Analyst, Growth Marketing

Upstart

OR • On-site, Remote

Other

Posted 10 days ago


Job description

The Team

The Growth Analytics team leverages data and insights to drive profitable business growth by supporting the growth vertical in its mission to increase demand, revenue, and customer lifetime value (LTV) at the most efficient cost of acquisition. The team  drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital.
As a Principal Analyst, Growth Marketing at Upstart, you will serve as the lead analytics partner for one of our largest acquisition channels. You will support the digital marketing team supporting work across paid search, paid social, paid video, mobile marketing, and SEO. You will apply advanced analytics and measurement frameworks to equip stakeholders with the insights and data needed to align on and execute strategic initiatives. 

In this role, you will collaborate closely with Growth Marketing, Product, Engineering, and Machine Learning teams to drive deep understanding, actionable insights, and data-informed decision-making. You will also help shape the data infrastructure that supports borrower acquisition and retention across our platform-fueling Upstart's growth at the highest levels.

How you'll make an impact:

  • Partner cross-functionally with channel owners, product, and engineering leaders to set the growth strategy and analytics roadmap across digital channels and products at Upstart
  • Lead the evolution of measurement beyond traditional click-based attribution, incorporating approaches such as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality testing to develop a more complete view of performance
  • Effectively use analytics to understand user behavior, funnel performance, and the impact of growth investments, and make proactive recommendations to improve efficiency and scale
  • Design and conduct quantitative analyses and experiments to test hypotheses, helping prioritize the highest-impact opportunities across channels and products
  • Collaborate with Analytics Engineering and Engineering to uplevel growth data capabilities, enabling new measurement approaches and accelerating time to insight as the business expands

What we're looking for: 

  • Minimum qualifications:
    • Strong analytical and quantitative background with at least 10+ years professional experience, preferably in marketing, growth or product analytics 
    • Deep expertise in applying analytics and data science techniques  to drive impacts in growth and marketing organizations, such as attribution models, customer lifetime values, ROI frameworks, a/b testing, etc. 
    • Proven track record designing and interpreting incrementality experiments, geo-lift tests, or  MMM-based growth measurement
    • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
    • Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field
    • Strong communication and analytical storytelling skills, experience deriving actionable insights from analysis, a well-balanced rigorous and creative approach to solving difficult and unstructured problems
  • Preferred qualifications:
    • Experience in technology, marketplace, fintech companies with knowledge of consumer financing
    • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards to successfully influence and drive C-level decision-making
    • Experience in coaching and mentoring junior team members on technical subjects

Position location - This role is available in the following locations: Remote

Travel requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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