Data Scientist - Trading Risk & Signals (Remote)

JustMarkets; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Education budget

Language learning budget

Wellness budget

Job summary

JustMarkets is seeking a Data Scientist to become the data-driven backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment, you will research, model, and validate core data-driven models powering pricing engines, automated market-making, and risk management.

You will work at the intersection of statistics and high-performance software engineering, collaborating with Product Managers and engineers to turn complex financial data into proprietary algorithmic

Qualifications

• 3+ years of experience as a Data Scientist or Quantitative Researcher.
• Strong knowledge of probability, statistics, time-series and financial mathematics.
• Proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn, Statsmodels) for modeling and backtesting.

Responsibilities

• Research, design, and prototype behavioral, risk, and toxicity-scoring models for client and partner-flow segmentation
• Build backtesting and monitoring frameworks to validate models, signals, and hypotheses across data of varying granularity
• Detect early risk signals, anomalies, and regime shifts in market and client behavior, including probability of critical capital loss
• Develop explainable risk signals and labels for the R&D team, and long-term client value/risk models with forecasting
• Conduct research and hypothesis-testing on client economics, flow quality, and model performance

Skills

Probability theory

Statistics

Time-series analysis

Python

Machine Learning

Market microstructure

VaR / risk metrics

SQL

Communication

Backtesting

Education

MSc or PhD in Mathematics/Statistics/Quantitative Finance/CS

Tools

MetaTrader MT4/MT5

Git

Job description

JustMarkets is seeking a Data Scientist to become the data-driven backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment, you will research, model, and validate core data-driven models powering pricing engines, automated market-making, and risk management.

You will work at the intersection of statistics and high-performance software engineering, collaborating with Product Managers and engineers to turn complex financial data into proprietary algorithmic