Remote Quant Analyst: Pricing, Risk & Market Making

JustMarkets; España; On-site; PHP 4,219,409 - 6,027,728; Full time

Benefits offered by this job

20 paid vacation days per year

10 paid sick leave days per year

Medical insurance

Professional education budget

Language learning budget

Wellness budget (gym membership, sports gear)

Public holidays as per the company's approved list

Job summary

JustMarkets in Romblon, España is seeking a Quantitative Analyst to design and optimize mathematical models for pricing and risk management. You will collaborate closely with Core Product Managers and engineering teams, turning complex financial data into algorithmic advantages.

The ideal candidate has 3+ years of experience, strong proficiency in Python, and a deep understanding of financial mathematics and machine learning. We offer a range of perks including paid vacation days, medical insurance, and opportunities for remote work.

Qualifications

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech.
• Advanced proficiency in Python for data analysis, modeling, and backtesting.
• Deep understanding of market microstructure and risk metrics.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making.
• Build and maintain robust backtesting frameworks.
• Conduct post-incident deep dives to identify algorithm performance gaps.

Skills

Probability theory

Stochastic calculus

Time-series analysis

Financial mathematics

Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels)

Machine Learning

SQL

Logical thinking

Communication skills

Education

Degree in Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science

Tools

MetaTrader platforms (MT4/MT5)

Job description

JustMarkets in Romblon, España is seeking a Quantitative Analyst to design and optimize mathematical models for pricing and risk management. You will collaborate closely with Core Product Managers and engineering teams, turning complex financial data into algorithmic advantages.

The ideal candidate has 3+ years of experience, strong proficiency in Python, and a deep understanding of financial mathematics and machine learning. We offer a range of perks including paid vacation days, medical insurance, and opportunities for remote work.