Top 129 Experienced quantitative trader Jobs

Quantitative Trader - AI Trainer
DataAnnotation —Portland, OR
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
1d
Experienced Equities Trader - Miami, FL
SMB Capital —Miami, FL
- Senior level
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Experienced Equity Options Trader
Belvedere Trading —Chicago, IL
- $150,000 - $200,000 a year
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- Mid-level
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Experienced US Equities Trader - Austin
Kershner Trading —Austin, TX
- Mid-level
- Analysis skills
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Experienced Trader
Gelber Group —New York, NY
- $72,000 - $120,000 a year
- Office
- Continuous improvement
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- Paid parental leave
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Experienced Commodities Options Trader
Belvedere Trading —Chicago, IL
- $150,000 - $200,000 a year
- Full-time
- Computer Science
- Office
- 3 years
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Experienced Options Trader - SOFR
Akuna Capital —Chicago, IL
- From $145,000 a year
- Computer Science
- Engineering
- Office
- Health insurance
- Dental insurance
FTR Power Trader - PJM/MISO Market
Energy Transfer Partners —Overland Park, KS
- Full-time
- Office
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8d
FTR Principal Trader - PJM Market
Energy Transfer Partners —Overland Park, KS
- Full-time
- 11+ years
- Office
- Finance
Quick Apply
Quantitative Trader - AI Trainer
DataAnnotation —Torrance, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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1d
Leader - Trading Platform - with series 7
Zacks Investment Research Inc —Chicago, IL
- $100,000 - $150,000 a year
- Full-time
- Hybrid work
- Management
- Senior level
- Marketing
- Health insurance
- Dental insurance
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Quantitative Trader - AI Trainer
DataAnnotation —Roanoke, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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1d
Quantitative Trader - AI Trainer
DataAnnotation —New York, NY
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
1d
Options Trader — Independent Consultant
Youngquist, LLC —Fort Myers, FL
- From $5,633.33 a month
- Full-time
- Background check
- In-person
- Senior level
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Senior Quantitative Trader - Delta One
Chicago Trading Company (CTC) —Chicago, IL
- $225,000 - $250,000 a year
- Hybrid work
- Computer Science
- 5 years
- C++
- Paid parental leave
- Parental leave
Experienced Quant
DA VINCI DERIVATIVES —Miami, FL
- $140,000 a year
- Computer Science
- Mid-level
- 3 years
- Relocation assistance
- Health insurance
Desk Head Quantitative Advisor
Société Générale —New York, NY
- $198,000 - $425,000 a year
- Computer Science
- Java
- Finance
- Health insurance
- Dental insurance
Quantitative Researcher, Trading Research
Point72 —New York, NY
- $125,000 - $200,000 a year
- Computer Science
- Office
- Finance
Quantitative Researcher - Systematic Credit
Point72 —New York, NY
- $150,000 - $200,000 a year
- Office
- Finance
- Math
Bernstein - Institutional Equity Financials Cash Trader
Société Générale —New York, NY
- $175,000 - $250,000 a year
- 5 years
- Analysis skills
- Senior level

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Quantitative Trader - AI Trainer

DataAnnotation -
Portland, OR

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
1 day ago

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Quantitative Trader - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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