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Prediction Jobs (NOW HIRING)

Betr

Compliance Lead, Prediction Markets

Miami, FL · On-site

$150K/yr

Betr is building a prediction markets product offering event-based contracts, and we're looking for an experienced compliance and regulatory professional to help build and scale our regulatory ...

Betr

Compliance Lead, Prediction Markets

Miami, FL · On-site

$150K/yr

Betr is building a prediction markets product offering event-based contracts, and we're looking for an experienced compliance and regulatory professional to help build and scale our regulatory ...

ZS

Patient-Centered Prediction Lead

Boston, MA · On-site

Patient-Centered Prediction Lead ZSD delivers successful projects in biomarker selection, patient segmentation, translational hypothesis validation, and multi-modal data integration, and demand for ...

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All JobsPrediction Jobs

Prediction information

See salary details

$41.5K

$142.5K

$201K

How much do prediction jobs pay per year?

As of Jun 25, 2026, the average yearly pay for prediction in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Did the US lose 33,000 jobs in June?

The prediction role involves analyzing employment data, but as of recent reports, the US did not lose 33,000 jobs in June; instead, the labor market showed signs of growth or stability. Job analysts and economists use tools like employment reports from the Bureau of Labor Statistics to assess such changes.

How can I make 2000 a week working from home?

A prediction role typically involves analyzing data to forecast trends, which can be done remotely. To earn $2000 weekly, one might need to work multiple projects, develop specialized skills in data analysis or machine learning, and secure clients or employment with competitive pay rates, often requiring experience and proficiency with relevant tools like Python or R.

How to make $10,000 a month without a degree?

A prediction-related role such as a data analyst or machine learning specialist can potentially earn $10,000 a month through skills in data modeling, programming, and statistical analysis. Building expertise in tools like Python, R, or SQL, gaining relevant certifications, and gaining experience can help achieve high income without a formal degree.

What professions make $200,000 a year without a degree?

In the prediction field, roles such as data scientists, machine learning engineers, and quantitative analysts can reach $200,000 annually through experience, specialized skills, and certifications. These positions often require strong analytical abilities, programming knowledge, and industry expertise, with some professionals working in finance, technology, or consulting environments without a traditional degree.

What is the difference between Prediction vs Data Analyst?

AspectPredictionData Analyst
Primary FocusForecasting future trends and outcomesAnalyzing historical data to identify patterns
Skills & CertificationsStatistical modeling, machine learning, programming (Python, R)Data visualization, SQL, Excel, statistical analysis
Work EnvironmentData science teams, research labs, tech companiesBusiness, finance, marketing departments
Industry UsageUsed for predictive modeling and forecastingUsed for reporting and insights

Prediction roles focus on forecasting future outcomes using advanced models, while Data Analysts interpret existing data to provide insights. Both roles require analytical skills but differ in their primary objectives and tools used.

More about Prediction jobs
What cities are hiring for Prediction jobs? Cities with the most Prediction job openings:
What states have the most Prediction jobs? States with the most job openings for Prediction jobs include:
Prediction jobs near you
Infographic showing various Prediction job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Traders - Prediction Markets

Moreton Capital Partners

Remote

Other

Posted 24 days ago

Job description

Traders - Prediction Markets
About Moreton Capital Partners
Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across commodities, alternative markets, and emerging data-rich asset classes. We combine quantitative modelling, agentic AI, and deep domain expertise to build strategies with durable, uncorrelated alpha.
Prediction markets are one of the firm's high-conviction growth areas. We are building a dedicated strategy, partnering and trading on world leading event contract platforms, and are hiring global traders to join the team and run a small live book from day one.
The Role
As a Trader, you will execute and actively manage a live portfolio of prediction market positions. You will develop and own a suite of strategies, reporting into a Portfolio Manager and accessing quant analysts to continuously refine our edge.
This is an execution-first role: you are on the tools, managing live positions, and responsible for real P&L. We are equally interested in proven practitioners and sharp, self-directed candidates earlier in their careers who can demonstrate they have already been doing this seriously on their own.
Key Responsibilities
  • Monitor and manage live positions across Polymarket (CLOB, Gamma, Subgraph APIs) and Kalshi (REST, WebSocket) throughout the trading day.
  • Execute strategies including: dynamic market making with real-time skew adjustment, order-flow and book imbalance exploitation, cross-platform pricing arbitrage, news and event momentum, and mean-reversion on statistically related contract pairs.
  • Build and backtest quantitative models using historical tick data, Bayesian probability frameworks, NLP-driven news parsing, and ML-based fair value estimation.
  • Collaborate with engineering on execution infrastructure - API integrations, order routing, position monitoring, and anomaly detection.
  • Maintain thorough post-trade analysis: attribution, model performance, slippage, and strategy decay monitoring.
  • Contribute ideas to the broader research agenda - prediction markets sit within MCP's wider effort to apply agentic AI and multi-signal frameworks to event-driven alpha.

Requirements
  • Direct, hands-on experience trading on Polymarket and/or Kalshi - via personal accounts, proprietary systems, or professional roles. We expect specifics: markets traded, strategies used, edges identified.
  • Strong Python skills: pandas, NumPy, backtesting frameworks, and API integrations built from scratch.
  • Solid foundation in probability, statistics, time-series analysis, and Bayesian inference.
  • Genuine, demonstrable engagement with the prediction markets ecosystem. This is a hard filter: we will ask for specifics about recent resolutions, platform mechanics, and structural observations.
  • Undergraduate or higher degree in a quantitative discipline, or equivalent demonstrated ability.

Bonus Points For
  • A live profitable track record in prediction markets, options, or event-driven strategies - even at personal scale.
  • Experience with blockchain and DeFi tooling: Polygon RPC, USDC wallet management, ethers.js or equivalent.
  • Familiarity with low-latency execution, FIX protocol, or Web3 API infrastructure.
  • Domain depth in high-volume event categories: professional sports analytics, macroeconomics, geopolitics, climate.
  • Interest in or experience with agentic AI applied to trading - an active investment area at MCP.

Who Thrives Here
The Trader role at MCP suits someone who runs hot on markets - who monitors Polymarket and Kalshi not because they have to, but because they cannot help it. If you have been building personal models, studying resolution patterns, or finding edges in thin markets on your own time, you are exactly who we want to talk to. We are as interested in exceptional self-starters earlier in their careers as we are in experienced professionals.
How to Apply
Send your CV and a cover letter that goes beyond generic interest. Tell us specifically: markets you have traded, strategies you have run, edges you have found, and what you see as the clearest structural opportunities available today on Polymarket or Kalshi.
Include links to any relevant work - GitHub, personal research, or portfolio evidence. Applications reviewed on a rolling basis. Strong candidates will progress through a technical screen, strategy discussion, and a live modelling or coding exercise.
Benefits
Performance-linked compensation. Details discussed at the offer stage.

Apply