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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.
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Assistant Machine Learning Quant jobs near you

Senior Manager, Machine Learning

Realtor.com Careers

Austin, TX

Other

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

At Realtor.com, Machine Learning is part of our DNA. We process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our [http://realtor.com|http://realtor.com|smart-link] website and mobile apps.

The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company's bottom line. As a key member of the team, you will be responsible for the development of a team to execute on innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a manager for the machine learning engineers on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop.

A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fairness, inclusion, and making sure we have a world-class customer experience is what this individual is chartered with. You should have extensive experience in modeling and strong statistical acumen. Additionally, prior experience managing a team is highly desirable.

What You'll Do:

  • Understand the business and data models to effectively query data
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
  • Supervise exploratory analysis on Realtor.com's wealth of data.
  • Direct development of predictive, explanatory models and machine learning algorithms.
  • Design and build machine learning solutions to drive revenue growth, customer retention and support strategic decision making.
  • Generate descriptive visualizations and presentations to communicate insights.
  • Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
  • Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
  • Mentor a team of machine learning engineers on data exploration, machine learning and developing data-oriented products.
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
  • Drive a project forward given just a problem and mission statement.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Bring:

  • PhD/MS in computer science, statistics, mathematics, operations research or related fields.
  • 8+ years of relevant experience in data science, machine learning or applied statistics.
  • 2+ years managing a team of machine learning engineers.
  • Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
  • Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Extensive experience with AWS, GCP, Azure, or equivalent
  • Experience with experiment design and A/B and multivariate tests.
  • Excellent communication and presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Strong ability to coach Machine Learning Engineers, helping them improve their skills and grow their careers
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
 
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

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