This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Machine Learning Engineer
Chicago, IL · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Machine Learning Engineer
Chicago, IL · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...
Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...
Machine Learning Scientist
$155K - $230K/yr
S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience. Preferred ...
Machine Learning Scientist
$155K - $230K/yr
S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience. Preferred ...
Machine Learning Engineer
Niles, IL · On-site
... machine learning models * Deploy and manage ML models in production environments using ... Bachelor's degree in computer science, Data Science, Mathematics, or related quantitative ...
Machine Learning Engineer
Niles, IL · On-site
... machine learning models * Deploy and manage ML models in production environments using ... Bachelor's degree in computer science, Data Science, Mathematics, or related quantitative ...
Machine Learning Developer/Python
Manhattan, NY · Hybrid
$55.50 - $76.25/hr
Machine Learning Developer Global financial services leader has an immediate need for a Machine ... Excellent analytical and quantitative skills with a demonstrated ability to conduct research using ...
Machine Learning Developer/Python
Manhattan, NY · Hybrid
$55.50 - $76.25/hr
Machine Learning Developer Global financial services leader has an immediate need for a Machine ... Excellent analytical and quantitative skills with a demonstrated ability to conduct research using ...
Machine Learning Researcher
$250K - $300K/yr
New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems.
Machine Learning Researcher
$250K - $300K/yr
New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems.
Machine Learning Researcher
$200K - $300K/yr
Machine Learning Researcher New York Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher ...
Machine Learning Researcher
$200K - $300K/yr
Machine Learning Researcher New York Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher ...
Machine Learning Scientist
Manhattan, NY · On-site
Required : • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational ...
Machine Learning Scientist
Manhattan, NY · On-site
Required : • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
Machine Learning Researcher
Chicago, IL · On-site
IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...
Machine Learning Researcher
Chicago, IL · On-site
IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
Austin, TX · On-site
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
Austin, TX · On-site
$139.50K - $258.10K/yr
... quantitative field or equivalent experience 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia ...
To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective ...
To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective ...
Machine Learning / Senior Machine Learning Scientist / Engineer
South San Francisco, CA · On-site
$109.90K - $150.10K/yr
... quantitative skills • Must be willing to work onsite at least four days a week Preferred : • Domain expertise in computational biology, biochemistry or structural biology • Familiarity with ...
Machine Learning / Senior Machine Learning Scientist / Engineer
South San Francisco, CA · On-site
$109.90K - $150.10K/yr
... quantitative skills • Must be willing to work onsite at least four days a week Preferred : • Domain expertise in computational biology, biochemistry or structural biology • Familiarity with ...
Machine Learning Researcher
San Francisco, CA · On-site
$144K - $187K/yr
Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...
Machine Learning Researcher
San Francisco, CA · On-site
$144K - $187K/yr
Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...
Students enrolled in a PhD program in machine learning, computer science, statistics, or a related ... Superb analytical and quantitative skills, along with a healthy streak of creativity.
Students enrolled in a PhD program in machine learning, computer science, statistics, or a related ... Superb analytical and quantitative skills, along with a healthy streak of creativity.
PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline * 2+ ...
PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline * 2+ ...
Machine Learning Researcher
$144K - $187K/yr
Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...
Machine Learning Researcher
$144K - $187K/yr
Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...
Overnight Machine Learning Quant information
See salary details
$52.5K - $65.6K
4% of jobs
$65.6K - $78.7K
17% of jobs
$80.6K is the 25th percentile. Wages below this are outliers.
$78.7K - $91.8K
29% of jobs
$91.8K - $104.9K
0% of jobs
$104.9K - $118K
2% of jobs
$118K - $131K
7% of jobs
$131K - $144.1K
7% of jobs
$151.1K is the 75th percentile. Wages above this are outliers.
$144.1K - $157.2K
16% of jobs
$157.2K - $170.3K
7% of jobs
$170.3K - $183.4K
5% of jobs
$183.4K - $196.5K
5% of jobs
$52.5K
$119.2K
$196.5K
How much do overnight machine learning quant jobs pay per year?
What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?
| Aspect | Overnight Machine Learning Quant | Quantitative Researcher |
|---|---|---|
| Credentials | Advanced degrees in CS, Math, or Stats; programming skills | Similar; advanced degrees often required |
| Work Environment | Financial firms, hedge funds, trading desks; fast-paced, data-driven | Financial institutions, research labs; analytical, research-focused |
| Industry Usage | High-frequency trading, algorithmic strategies | Market analysis, model development |
| Work Hours | Overnight shifts aligned with trading hours | Standard business hours, flexible in some cases |
While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.
PayPal rating
6.8
Based on 18 frontline employees who took The Breakroom Quiz
15th of 17 rated payment service providers
Job description
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.Job Description:
Essential Responsibilities:
- Assist in the development and optimization of machine learning models.
- Preprocess and analyze datasets to ensure data quality.
- Collaborate with senior engineers and data scientists on model deployment.
- Conduct experiments and run machine learning tests.
- Stay updated with the latest advancements in machine learning.
Minimum Qualifications:
- 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
- Familiarity with ML frameworks like TensorFlow or scikit-learn.
- Strong analytical and problem-solving skills.
Additional Responsibilities & Preferred Qualifications:
Role and Responsibilities
- Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
- Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
- Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
- Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.
Qualifications
This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers. The candidate must possess excellent communication, writing and presentation skills.
- An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
- Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost,CNNs/RNNs)
- Possessing advanced coding skills in dealing with big data (e.g.,Scikit-learn inPython,Tensorflow, Hadoop,Spark, SQL, etc.)
- Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
- Ability to work effectively both independently and in a team environment
- Ability to communicate effectively and establish constructive relationship with stakeholders
Subsidiary:
PayPalTravel Percent:
0-
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:Primary Location | Pay Range:
Chicago, Illinois | ($117,500.00 - $174,350.00 Annually)Additional Location(s) | Pay Range:
Austin, Texas | ($117,500.00 - $174,350.00 Annually) Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
About PayPal
Sourced by ZipRecruiter
PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Industry
Software development
Company size
10,000+ Employees
Headquarters location
San Jose, CA, US
Year founded
1998