Quantitative Analyst at Bayse Markets

Bayse Markets is Africa's Largest prediction market platform that allows people to trade the news, opinions, and outcomes of future events. Think of the stock market, but for real-world topics that everyone can relate to. Our goal is simple. We want to create a seamless and user-friendly experience that enables users to turn their knowledge, skills, and access to information into financial opportunities. From politics and sports to music, pop culture, and crypto, our users leverage their insights to participate in markets based on real-world outcomes.

Building meaningful products is challenging, but deeply rewarding. We are a team that values ownership, creativity, collaboration, and continuous learning. We offer a flexible hybrid work structure, a supportive environment, and room to grow in a fast-evolving industry.

We are recruiting to fill the position below:

Job Title: Quantitative Analyst

Location: Lagos
Employment Type: Full-time

About this Role

• As a Quantitative Analyst at Bayse, you will help build the models, metrics, and decision systems that power a high-quality prediction market.
• You will work on pricing, liquidity, market efficiency, risk, and performance analytics, and you will partner closely with product and engineering to turn research into shipped improvements.
• This role is a mix of analysis and implementation. You will be hands-on with data, thoughtful about market design, and comfortable making tradeoffs that improve market quality, reduce risk, and increase user trust.

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.

Requirements

• 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.

Application Closing Date
22nd March, 2026.

How to Apply
Interested and qualified candidates should send a short pitch with their Resume and any relevant materials (GitHub, research, dashboards, case studies) to: build@bayse.markets using “Quantitative Analyst - Lagos” as the subject of the email.

Note: We will reach out if your application is a strong fit.