Quantitative Researcher: Real-Time Analytics & AI Tools

Solo Clash L.L.C-FZ; Greater London; In loco; GBP 60.000 - 85.000; Tempo pieno

Descrizione del lavoro

Solo Clash seeks a motivated quantitative researcher to calibrate and improve a proprietary trading risk model. You will enhance metrics, test changes, and ensure reports reflect accurate analytics for major market releases.

The role emphasizes rigorous validation, event studies, and pipeline development. Graduate-level candidates or MSc/PhD students are welcome, with experience in quant research, data science, or trading.

Competenze

• Thorough knowledge of statistics, including hypothesis testing, regression and time-series analysis.
• Proficient in Python for data analysis (pandas, NumPy) and SQL.
• Experience with financial time-series data from work, research or personal projects.
• Interest in financial markets and macroeconomics.
• You review your own results critically before presenting them.

Mansioni

• Calibrate the model's parameters and features, and measure changes against the current version.
• Improve the model's directional bias, confidence scores, and volatility profiles.
• Validate changes out of sample and test for look-ahead bias and data snooping.
• Track model performance after releases and correct drift.
• Turn feedback into tested model changes for production.
• Run event studies on CPI, NFP, FOMC and other releases across time windows.
• Build and extend research pipelines and backtests in-house.

Conoscenze

Python

Pandas

NumPy

Time-series analysis

Statistics

Hypothesis testing

Regression

Data validation

English communication

SQL

Formazione

Mathematics/Physics/Statistics/CS/Econometrics degree

Strumenti

SQL

Claude Code / AI tools

Descrizione del lavoro

Solo Clash seeks a motivated quantitative researcher to calibrate and improve a proprietary trading risk model. You will enhance metrics, test changes, and ensure reports reflect accurate analytics for major market releases.

The role emphasizes rigorous validation, event studies, and pipeline development. Graduate-level candidates or MSc/PhD students are welcome, with experience in quant research, data science, or trading.