Job Description

Company
Varsity Holdings
varsity-tech.com
Designation
Crypto Quant Researcher (Strategy Development & Data)
Date Listed
19 Jan 2026
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Free/ProjPart/TempIntern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
Banking / Finance
Industry
Finance
Location Name
144 Robinson Road, Singapore
Work from Home
Address
144 Robinson Rd, Singapore 068908
Map
Allowance / Remuneration
$550 - 2,100 monthly
Company Profile
We are a systematic quantitative trading firm building fully automated strategies across crypto markets (CEX & on-chain). We run a research-driven pipeline: idea data features backtest live iterate.


This is not discretionary trading. This is engineering alpha.


You'll be working directly on strategy R&D and data infrastructure: collecting, cleaning, structuring, and turning raw market data into profitable trading systems.



What You Will Do Strategy Research & Development (Core) Research, design, and test systematic trading strategies across:

+ Crypto spot, perps, futures
+ Intraday, swing, and statistical arbitrage horizons
Turn hypotheses into measurable signals Build:

+ Entry/exit logic
+ Position sizing logic
+ Risk filters & regime filters
Perform:

+ Robust backtests
+ Out-of-sample testing
+ Parameter stability & overfitting checks
Analyze PnL drivers, failure modes, and edge decay Data Collection & Data Engineering (Equally Important) Build and maintain data pipelines for:

+ OHLCV (multi-timeframe)
+ Trades, orderbook, funding, open interest
+ Liquidations, on-chain metrics, flows
Work with:

+ Exchange APIs (Binance, Bybit, OKX, etc.)
+ Flat files / time-series databases
Responsibilities:

+ Data cleaning
+ Timestamp alignment
+ Corporate-action-like adjustments (forks, symbol changes, contract rolls)
+ Outlier detection
+ Missing data handling
Build research-grade datasets, not garbage-in-garbage-out. Feature Engineering & Factor Research Design alpha factors from:

+ Price action
+ Volume, order flow, liquidity
+ Volatility, funding, basis, positioning
+ Cross-asset and cross-timeframe relationships
Build:

+ Single-bar features
+ Multi-bar structural features
+ Regime and context variables
Analyze:

+ Feature stability
+ Feature interactions
+ Feature decay
Research Infrastructure & Tooling Improve:

+ Backtesting framework
+ Research workflow
+ Experiment tracking
Build tools for:

+ Fast iteration
+ Batch experiments
+ Strategy comparison
+ Portfolio-level simulations
What We're Looking For

Must-Have

Strong quantitative / analytical thinking Strong Python (pandas, numpy, vectorization, not for-loops everywhere) Comfortable with:

+ Time-series data
+ Backtesting
+ Statistical analysis
Experience handling messy real-world data Able to think in:

+ Signals
+ Distributions
+ Expected value
+ Regimes
Understands overfitting is the enemy

Big Plus

Experience in:

+ Crypto market microstructure
+ Order book data
+ On-chain data
+ HFT / intraday systems
C++ experience SQL / ClickHouse / time-series DBs Experience building research pipelines, not just notebooks Has actually run strategies or done serious backtests before Background Degree in:

+ Math / CS / Engineering / Physics / Stats / Econ or similar
But honestly:

+ If you're good, we don't care about paper credentials.
What You Get Work on real capital, real strategies, real impact Direct influence on PnL Access to:

+ Full research stack
+ Large datasets
+ Serious compute
Competitive compensation + performance upside No politics. No fluff. Just build edge. Who Should NOT Apply If you:

+ Want to do "crypto research" by reading Twitter
+ Think indicators = strategies
+ Can't tell the difference between backtest and reality
+ Want hand-holding and step-by-step instructions


This is not that job.

Interview Process Discussion of:

+ Past research or projects
+ How you think about alpha
Practical task:

+ Data cleaning / feature extraction / small research problem
We care about how you think, not buzzwords.

Application Instructions
Please apply for this position by submitting your text CV using InternSG.

Kindly note that only shortlisted candidates will be notified.