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Assistant Machine Learning Quant Jobs in Virginia

VTG

Data Scientist

Mclean, VA · On-site

Demonstrated experience with quantitative analysis, machine learning, and statistical modeling. * Experience conveying complex data science insights to non-technical audiences * Specific experience ...

VTG

Data Scientist with Security Clearance

Fairfax, VA · On-site

Demonstrated experience with quantitative analysis, machine learning, and statistical modeling. * Experience conveying complex data science insights to non-technical audiences * Specific experience ...

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Assistant Machine Learning Quant information

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
What are the most commonly searched types of Machine Learning Quant jobs in Virginia? The most popular types of Machine Learning Quant jobs in Virginia are:
What are popular job titles related to Assistant Machine Learning Quant jobs in Virginia? For Assistant Machine Learning Quant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in Virginia look for? The top searched job categories for Assistant Machine Learning Quant jobs in Virginia are:
What cities in Virginia are hiring for Assistant Machine Learning Quant jobs? Cities in Virginia with the most Assistant Machine Learning Quant job openings:
Assistant Machine Learning Quant jobs near you
Quantitative Analytics Professional

Quantitative Analytics Professional

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 24 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.
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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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