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Financial Analyst (US Equities) – Quantitative Research

grey brick capital • Luxembourg
Visa Sponsorship Relocation
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Grey Brick Capital seeks an English and Russian-speaking Financial Analyst with deep expertise in US equities to join its quantitative research team. You will source, clean and analyse large datasets, develop and test hypotheses about US equity markets, and translate findings into inputs for trading models. Requirements include a quantitative degree, advanced Excel and Bloomberg Terminal proficiency, strong statistics and US market mechanics knowledge, and EU work eligibility or willingness to relocate.

Key Highlights
Quantitative research on US-listed equities, sectors and market structure
Build and audit large financial datasets with point-in-time integrity
Statistical analyses, backtests and signal robustness evaluation
Advanced Excel and Bloomberg Terminal proficiency required
EU work eligibility or relocation with visa sponsorship
Key Responsibilities
Conduct fundamental and quantitative research on US-listed equities, sectors and market structure
Build, maintain and audit large financial datasets (pricing, fundamentals, corporate actions, alternative data); ensure data quality and point-in-time integrity
Design and run statistical analyses and backtests; evaluate signals for robustness, decay and overfitting
Build and maintain analytical models and dashboards in Excel and Bloomberg; automate recurring workflows where possible
Monitor earnings, macro releases and corporate events relevant to the US equity universe and assess their impact on live and candidate strategies
Document research clearly and present findings and recommendations to the research and trading teams
Contribute to risk and performance reviews of existing strategies
Technical Skills Required
Microsoft Excel Bloomberg Terminal
Benefits & Perks
Competitive salary €60,000-€96,000 plus discretionary performance bonus
Pension contribution
Health insurance
Relocation support
Large research budget for data, tools and training
Modern office
Nice to Have
Python or R for data analysis (pandas, NumPy, statsmodels) and SQL
Experience with backtesting frameworks or working alongside systematic trading teams
Familiarity with alternative data (sentiment, web, transactional) and with data vendors such as Refinitiv, FactSet, Compustat or CRSP
Knowledge of portfolio construction, factor models and risk management

Job Description

About 'Grey Brick Capital'

'Grey Brick Capital' is a Luxembourg-based holding and investment company specialising in systematic research and autonomous algorithmic trading. We build and run trading strategies grounded in rigorous quantitative research, and we are expanding the research team behind them.

The role

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