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Quant Analytics Jobs in Oregon (NOW HIRING)

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field * Strong communication and analytical storytelling skills, experience deriving actionable insights ...

This role is responsible for coordinating data integration from multiple government and partner sources, conducting quantitative and qualitative analyses, and preparing executive-level reports ...

Apply qualitative and quantitative analytical methods to evaluate operational effectiveness across transition workstreams. * Manipulate and organize program data to produce status reports and ...

Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.

New

Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations.

New

OR · On-site

$180K - $200K/yr

With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks ... Overview The Advanced Analytics Lead will be the primary driver of advanced market research ...

By establishing and running a centralized, quantitative risk monitoring program for Upstart Bank ... Provide data and analytical support for enterprise risk assessments, management and board reporting ...

$210K - $270K/yr

Analyze multiple data sources, KPIs, trends, and market events to provide strategic insights on ... quantitative field required; advanced degree preferred. * Director: Minimum 8-10 years of relevant ...

OR · On-site

$220K - $360K/yr

You will be responsible for defining, leading, analyzing, and socializing research studies that ... end quantitative research studies (e.g., surveys) Self-starter and problem solver who loves ...

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Quant Analytics information

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Quant Analytics professional, and why are they important?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What jobs pay $500,000 a year in the US?

Quantitative analysts, especially senior or lead roles in hedge funds, investment banks, and proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management. Compensation varies based on performance, firm size, and market conditions.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or data science to compete effectively in the field.

What jobs make $1,000,000 a year?

In the field of quantitative analytics, roles such as senior hedge fund quant, proprietary trader, or chief investment officer can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What job categories do people searching Quant Analytics jobs in Oregon look for? The top searched job categories for Quant Analytics jobs in Oregon are:
Principal Data Analyst, Growth Marketing

Principal Data Analyst, Growth Marketing

Upstart

OR • On-site, Remote

$86K - $107K/yr

Other

Posted 23 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 Data 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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