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Quantitative Science Jobs in Virginia (NOW HIRING)

ThinkTek

Quantitative Analyst

Alexandria, VA · On-site

Quantitative Analyst Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service ... Master of Science degree in Operations Research, Industrial Engineering, Applied Mathematics ...

ThinkTek

Quantitative Analyst

Alexandria, VA

Quantitative Analyst Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service ... Master of Science degree in Operations Research, Industrial Engineering, Applied Mathematics ...

Freddie Mac

Quantitative Analytics Professional

Mclean, VA · On-site

$105K - $157K/yr

Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies. Our team is also responsible for ...

ThinkTek

Quantitative Analyst

Alexandria, VA · On-site

Quantitative Analyst Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service ... Master of Science degree in Operations Research, Industrial Engineering, Applied Mathematics ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM) field such as: * Computational Social Science * Computer Science * Data Analytics * Economics

Level Up Llc

Data Scientist

Reston, VA · On-site

Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM) field such as: * Computational Social Science * Computer Science * Data Analytics * Economics

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM) field such as: * Computational Social Science * Computer Science * Data Analytics * Economics

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Quantitative Science information

What does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming tools to solve complex problems. They often work in finance, research, or technology sectors, developing algorithms and predictive models to inform decision-making.

What is a Quantitative Science job?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are the key skills and qualifications needed to thrive in the Quantitative Science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts, often referred to as quants, for roles in trading, risk management, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often hold advanced degrees in quantitative fields. The firm offers opportunities for quants to work with sophisticated models and tools like Python, R, and MATLAB.

What are some typical projects or tasks a Quantitative Science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What careers use quantitative research?

Quantitative science careers include roles such as data analyst, quantitative analyst, financial analyst, research scientist, and data scientist. These positions involve analyzing numerical data, developing models, and using tools like statistical software and programming languages such as Python or R to inform decision-making across industries like finance, healthcare, technology, and academia.

What are some quant jobs?

Quantitative science jobs include roles such as quantitative analyst, data scientist, quantitative researcher, risk analyst, and algorithm developer. These positions typically require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB. They are common in finance, technology, and research institutions.
What are popular job titles related to Quantitative Science jobs in Virginia? For Quantitative Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantitative Science jobs in Virginia look for? The top searched job categories for Quantitative Science jobs in Virginia are:
Quantitative Science jobs near you
Quantitative Analytics Professional

Quantitative Analytics Professional

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 18 days ago

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Are you passionate about data? Are you curious and analytical? Do you thrive on working in a team environment?
Freddie Mac's Multifamily Portfolio and Risk Management team needs creative, forward-thinking individuals like you! We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business.
Our Impact:
We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies.
Our team is also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamical market environment.
Your Impact:
  • Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide thoughtful inputs on development of Multifamily data, advanced analytics, and model assumptions/methodology.
  • Lead best practices and improvement of Multifamily data management and analytical products to ensure adherence to industry standards and regulatory compliances.
  • Collaborate with cross-functional teams to implement data strategy and enhance data uses and data-driven culture.
  • Design and implement viable analytical tools/applications, data research and integrated reporting platforms for Multifamily management, business users and risk managers.
  • Actively build and engage data science & engineering community through effective communication and leadership.
  • Respond quickly with a small team to urgent data analysis requests.
  • Build strong productive relationship with various stakeholders across three lines of risk governance.

Qualifications:
  • Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.
  • Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include -but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
  • Demonstrated experience and expertise in quantitative data management, financial model development, credit risk evaluation and model risk management.
  • Proficiency in programming languages such as Python, SQL or Unix
  • Experience working with large data sets and relational database
  • Strong analytical and problem-solving skills with a high level of attention to details.
  • Strong interpersonal and communication skills, particularly written communication skills.
  • Self-motivated, with the capability of managing multiple priorities and efficient in proposing solutions.

Keys to Success in this Role:
  • Data-oriented mindset.
  • Intellectual agility and interpersonal flexibility.
  • Strong time-management, planning, and communication skills.
  • Extensive knowledge and experience in data-driven solutions, analytics, and software development.
  • Ability to work with and collaborate across teams and where silos exist.
  • Skilled and innovative problem solver.

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $105,000 - $157,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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