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$54.3K

$123.2K

$203.1K

How much do quant analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for quant analytics in Silver Spring, MD is $123,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $157,700.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Quant Analytics jobs in Silver Spring, MD? For Quant Analytics jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Silver Spring, MD look for? The top searched job categories for Quant Analytics jobs in Silver Spring, MD are:
Quant Analytics jobs near you
Fixed Income - Quantitative Investment Analyst - Portfolio Construction

Fixed Income - Quantitative Investment Analyst - Portfolio Construction

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 13 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Do you excel in quantitative portfolio optimization for bond funds? Have you consistently helped fixed-income fund managers create more efficient portfolios? Join T. Rowe Price-this role is for you!

Role Summary

The Quantitative Investment Analyst is an investment role within the Fixed Income division at T. Rowe Price.The role resides within the Fixed Income Quantitative Investments and Research (FI Quant) group, as part of the Portfolio Research Group.The Portfolio Research Group seeks to enhance portfolio risk-adjusted returns by applying quantitative methods to: (a) advise portfolio managers on position sizing and optimal combination of positions in portfolios; (b) advise portfolio managers on risks not immediately covered by standard models; (c) capitalize on long-term market inefficiencies and risk premia as well as capture value from shorter-term dislocations.

The team requires an experienced quantitative researcher to conduct analysis in applied portfolio construction. A successful candidate will frequently interact with Fixed Income portfolio managers and senior Fixed Income leadership to advocate for implementation of relevant ideas and methods in fixed income portfolios.

Responsibilities

  • Conduct quantitative research applied to US fixed income portfolios, involving sizing and combination of sectors, strategies and alpha signals, including off-benchmark segments
  • Integrate solid risk-awareness in portfolio construction models, accounting for risk in normal and stressed market environments
  • Proactively advocate for enhancing portfolio performance by applying appropriate quantitative methodologies and effectively collaborate with portfolio managers towards this goal
  • Work with Technology partners to productionize models

Qualifications

Required:

  • Degree in quantitative discipline. Master's or higher preferred
  • 7+ years of investing experience
  • Experience and expertise in fixed income markets, securities, and derivatives instruments, especially instruments that involve credit risk.
  • Understanding of quantitative portfolio construction and optimization techniques
  • Proficiency with R or Python programming language
  • Ability and willingness to leverage AI tools available in the company to boost efficiency is highly valued
  • Familiarity with risk forecast models
  • Self-motivated, independent, detail oriented and intellectually curious
  • Strong communication skills, with ability to influence others. Creative problem solver

Preferred:

  • CFA designation
  • Experience with US Securitized products, especially Mortgage Backed Securities (Agency and Non-Agency)

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

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