Quantitative Analyst Jobs
Quantitative Analyst jobs are open across finance, asset management, fintech, insurance, and tech, from entry-level analyst to senior quant and principal researcher, with specializations in algorithmic trading, risk modeling, and derivatives pricing. Find a role that fits from the openings below and apply directly.
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Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.
Responsibilities:
- Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
- Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
- Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.
- Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
- Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
- Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
- Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity
As a Client Quantitative Analyst, your main responsibilities will involve:
- Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology
- Independently conducting quantitative analytics and developing new innovative analytic processes when needed
- Applying quantitative methods to further analytical capabilities that support BSA/AML compliance programs
- Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior
Required Qualifications:
- Ability to use data tools and techniques to find and deliver data from various sources of record
- Proven communications skills in describing complex data to inform strategic insights and decisions
- Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Coursework in finance, math/statistics and/or computer science
- 2+ years of experience in applied data science or quantitative research or related role
- Strong analytical and problem-solving skills
- Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audiences
- Ability to manipulate data from structured and unstructured sources
- Experience extracting and merging data from different database environments, including Hadoop
- Ability to work effectively in a fast-paced high-consequence environment
Desired Qualifications:
- Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
- Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world
- Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions
- Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
- Effective at prioritization/time and project management
- Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
- Experience gathering and communicating business requirements between technology product owners and engineering teams
Skills:
- Business Analytics
- Data Mining
- Data and Trend Analysis
- Analytical Thinking
- Business Intelligence
- Data Quality Management
- Data Visualization
- Application Development
- Business Acumen
- Continuous Improvement
- Innovative Thinking
- Quality Assurance
Shift:
1st shift (United States of America)Hours Per Week:
40Quantitative Analyst Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Investment & Asset Management15
- Banking & Financial Services12
- Technology & Software6
- Construction & Real Estate3
- Energy2
What Employers Look For
The qualifications that appear most often in quantitative analyst jobs.
- Advanced degree in mathematics, statistics, financial engineering, or a related quantitative field
- Proficiency in Python, R, or MATLAB for statistical modeling and data analysis
- Experience with stochastic calculus, probability theory, and numerical methods
- Familiarity with SQL and large-scale financial datasets or market data platforms
- Knowledge of derivatives pricing, risk metrics such as VaR, or algorithmic strategy development
- Strong written and verbal communication skills to present model results to non-technical stakeholders
Tips for Your Quantitative Analyst Job Search
Tailor your resume to the domain
A quant resume for a hedge fund looks different from one targeting a bank's risk team. Highlight the asset class, modeling environment, and languages most relevant to that specific domain. Generic quant resumes get screened out fast.
Show your code, not just credentials
Hiring teams for quantitative analyst roles expect to see working code. Link to a GitHub repository or attach a Jupyter notebook that demonstrates a real model you built. Degrees and skill lists alone rarely move you past a first screen.
Apply early to roles that fit
Migrate Mate lists quantitative analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by technology stack, not just title
Many quantitative analyst postings differ more by stack than by seniority. If you work primarily in Python and pandas, target roles that list those tools explicitly. Applying to C++ quant trading roles without that background rarely leads anywhere.
Prep for the brainteaser and take-home pair
Quant interviews almost always combine probability brainteasers or mental math with a take-home modeling problem. Practice Fermi estimation, coin-flip problems, and simple Monte Carlo exercises separately from your coding prep.
Negotiate the full compensation package
Base salary is only one component for quant roles. At trading firms and asset managers, year-end bonuses and profit-sharing often exceed base. Go into salary conversations knowing which components are fixed and which are variable before you respond to an offer.
Quantitative Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most quantitative analysts?
The companies hiring the most quantitative analysts right now include Citi, Goldman Sachs, and PIMCO, with the largest share of openings in New York, Texas, and California, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at investment banks, hedge funds, asset managers, and large fintech firms.
How many quantitative analyst jobs are remote?
About 58% of quantitative analyst openings are fully remote or hybrid as of September 2026, though fully on-site roles remain common at trading firms that require low-latency access to systems. Risk analytics, model validation, and insurance actuarial quant roles tend to offer the most remote flexibility compared to front-office trading positions.
How do you become a quantitative analyst?
Most quantitative analysts start with a bachelor's degree in mathematics, statistics, physics, or engineering, then add a master's or PhD in financial engineering, applied math, or a related field. Build programming skills in Python or R, complete projects involving real financial data, and pursue internships at banks, asset managers, or fintech firms to gain applied modeling experience before your first full-time role.
How do you get hired as a quantitative analyst with little experience?
Entry-level quant roles at banks and asset managers often recruit directly from graduate programs, so a strong academic record and a research thesis or capstone project in a relevant area carry significant weight. Build a public portfolio of modeling work, compete in quantitative finance competitions, and target junior roles specifically labeled research analyst, model validation analyst, or junior quant to get your first foothold.
What does the quantitative analyst interview process look like?
Quantitative analyst interviews typically run in three to four stages: an initial recruiter screen, a technical phone interview covering probability, statistics, and mental math, a take-home modeling or coding assessment, and a final on-site or video loop with team members and a senior quant. Some firms also include a presentation of your take-home work or a live coding session in a shared environment.
Where can I find and apply to quantitative analyst jobs?
You can find and apply to quantitative analyst jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your background, skills, and preferred location, then apply directly to each one that fits.
See All 147+ Quantitative Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Quantitative Analyst Jobs