Quantitative Research Analyst, Virtual Assets

About Posley

Posley is a quantitative investment firm focused on opportunities across traditional and alternative markets.

We study how price, funding, liquidity, market structure and execution interact across markets, and build systematic trading strategies around those opportunities.

We are a small team, so analysts work closely with researchers, engineers and traders, and can contribute directly to real investment and research problems.

The Role

We are looking for a Quantitative Research Analyst to support research across virtual asset markets. This role is suitable for someone who is curious about how markets actually work and enjoys breaking down complex questions using data, market mechanics and structured analysis.

You may work on a wide range of topics — from funding rate mechanics and exchange rules to market structure, execution quality, latency and new trading opportunities.

The objective is not simply to produce research reports, but to help the team answer important investment questions quickly and reliably.

What You Will Work On

Examples of research topics include:

• Study funding rate mechanisms across exchanges and protocols
• Analyse market structure, liquidity and trading venue differences
• Research exchange rules, margin, liquidation and fee structures
• Study latency, execution quality and order behaviour
• Compare basis, funding, borrow and carry opportunities
• Analyse new exchanges, instruments and market developments
• Conduct preliminary studies on potential trading strategies
• Collect and analyse market data using Python or similar tools
• Perform basic statistical analysis, backtesting and data validation
• Summarise findings into clear and concise conclusions

Research topics may change quickly depending on market opportunities and the needs of the investment team.

Requirements

• Strong analytical and quantitative ability
• Curious about financial markets and how trading systems work
• Strong attention to detail and willingness to verify assumptions
• Able to independently research unfamiliar topics
• Comfortable working with data and drawing evidence-based conclusions
• Able to communicate findings clearly and concisely
• Strong sense of ownership and willingness to learn
• Comfortable working in a fast-moving startup environment

We are open to strong fresh graduates and candidates with approximately 0–3 years of experience.

Technical Skills

You should be comfortable with:

• Python for data analysis
• Basic statistics and quantitative analysis
• Working with APIs or structured market data
• Excel / spreadsheets for quick analysis

Experience with SQL, backtesting tools or data visualisation is helpful but not required.

Nice to Have

• Personal or professional interest in digital asset markets
• Understanding of derivatives, perpetual futures or funding rates
• Familiarity with exchanges such as Binance, Hyperliquid, Bybit or similar venues
• Basic understanding of market microstructure
• Previous quantitative research, trading or data-analysis experience
• Background in mathematics, statistics, engineering, computer science, physics, economics or finance

What Good Research Looks Like

We value research that is Clear → Evidence-based → Reproducible → Actionable

You should be able to take a question such as:

• How exactly does a protocol calculate funding?
• Does latency materially affect execution quality?
• Why does the same instrument trade differently across venues?
• Is an apparent carry opportunity still attractive after fees and execution costs?

and turn it into a concise analysis with a clear conclusion.

Why Posley

Posley combines the discipline of a regulated investment firm with the speed and ownership of a startup.

We operate across both traditional and virtual asset markets, giving our team exposure to a market environment that increasingly sits between the two.

Our core research, trading and technology capabilities are built in-house. We care deeply about the details — from market rules and data quality to execution, risk and operational reliability.

You will have the opportunity to:

• work within a licensed and professionally managed investment environment
• gain exposure to both traditional and virtual asset markets
• work directly with researchers, traders and engineers
• study real market problems that can influence live investment decisions
• understand how research, technology and execution come together inside a quantitative investment firm

We value people who are curious, rigorous, practical and serious about getting the details right.