Quantitative Analyst
Bayse Markets
Job Overview
Location
Lagos, Lagos, Nigeria
Employment Type
Contract
Work Arrangement
On-site
Sector
Data & Analytics
Experience Level
Mid-level (3-5 years)
About the Company
Job Description
Bayse Markets is seeking a skilled Quantitative Analyst to join our dynamic team. In this role, you will be instrumental in developing the sophisticated models, metrics, and decision systems that power our high-quality prediction market.
Your responsibilities will encompass pricing, liquidity, market efficiency, risk management, and performance analytics. You will collaborate closely with our product and engineering departments, transforming research insights into tangible, implemented improvements that enhance our platform's capabilities.
This position offers a unique blend of in-depth analysis and hands-on implementation. You will work directly with data, apply thoughtful market design principles, and make strategic trade-offs to elevate market quality, mitigate risk, and foster user trust.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Market analytics and insights: Track and explain market health metrics like spreads, depth, slippage, volatility, participation, and price accuracy across categories.
- Pricing and liquidity support: Support the design and tuning of pricing and liquidity mechanisms (AMM parameters, incentives, order book dynamics, maker and taker behaviors).
- Risk and exposure: Build monitoring and reporting for platform exposure, liabilities, concentration risk, manipulation patterns, and abnormal trading behavior.
- Research and experimentation: Run experiments and analyses to improve market efficiency, user outcomes, and platform revenue, and recommend changes backed by data.
- Forecasting and monitoring: Build models that forecast liquidity needs, trading volume, and market performance, and create dashboards to track results over time.
- Fraud and integrity signals: Develop quantitative signals to detect suspicious activity, collusion, wash trading patterns, and other behaviors that harm market integrity.
- Product and engineering collaboration: Work with product and engineering to translate research into practical, shippable features and ongoing monitoring systems.
- Data pipelines and tooling: Define data requirements, improve data quality, and help build internal tooling for analysts and operators.
- Documentation: Write clear memos and explanations that make complex quantitative ideas easy to understand for non-technical stakeholders.
Qualifications
- 2+ years of experience in a quantitative role (quant, data science, analytics, trading, research, or similar), ideally in fintech, exchanges, or market-driven products.
- Strong statistics and applied modeling skills, and a clear understanding of how to measure market quality.
- Strong SQL skills and fluency in Python (pandas, numpy, notebooks). Experience with time series is a plus.
- Comfortable working with messy data, building clean metrics, and creating dashboards and automated reporting.
- Ability to communicate clearly and turn analysis into concrete product recommendations.
- High ownership and high agency. You can take a vague problem, define it properly, and drive it to an outcome.
- Knowledge of prediction markets, market making, AMMs, order books, or trading products is a plus.
- Experience with fraud detection, anomaly detection, or risk monitoring is a plus.
How to Apply
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As a Quantitative Analyst at Bayse, you will be instrumental in developing the sophisticated models, metrics, and decision systems that underpin our high-quality prediction market. Your work will focus on critical areas such as pricing, liquidity, market efficiency, risk management, and performance analytics. You will collaborate closely with product and engineering teams to translate your research into tangible, implemented improvements that enhance our platform.
Posted Date
February 18, 2026
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