Junior Quant Researcher (m/f/d)

BIT Capital GmbH; Berlin; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

BIT Capital GmbH is seeking a Junior Quant Researcher to own alpha signals and risk models for Europe’s top tech funds. You will work with Portfolio Management and Fundamental Research to test hypotheses and deploy models.

You will build time-series models, turn ideas into signals, and use Python, SQL and AWS/Snowflake to handle large data and production code.

Qualifikationen

• 1–2 years in quantitative research or data science in finance.
• Master's or PhD in a quantitative field with excellent results.
• Strong knowledge of statistics, time-series and ML exposure.

Aufgaben

• Own alpha signals and risk models for Europe‑focused tech funds.
• Test hypotheses using backtesting and move viable ideas to production.
• Develop time-series models and turn hypotheses into signals.
• Utilize Python, SQL and AWS/Snowflake for data work and deployment.

Kenntnisse

Python

SQL

English fluency

Ausbildung

Master's or PhD in mathematics/physics/CS/economics/finance

Tools

Snowflake DWH

AWS

Jobbeschreibung

YOUR ROLE

Your Role & How we work

As our Junior Quant Researcher (m/f/d), you own alpha signals and risk models for Europe’s best performing technology funds and a concentrated list of tomorrow’s leading tech companies. You report to Benjamin Kauper (Director Systematic Strategies & Risk) and join a team of three quants working directly with Portfolio Management and Fundamental Research.

Your priorities in this role will include:

• Signals that move capital. You own the alpha-signal and risk-model lifecycle for that watchlist, in benchmark-independent, highly active portfolios that turn over three to four times a year.
• Quantamental proof work. You test the fundamental team's hypotheses systematically. What holds out-of-sample becomes a signal we trade, what does not gets removed based on factual evidence.
• 70 / 30. You spend roughly 70% of your week on research, idea generation and backtesting, and 30% on production code that puts the models into the live environment.
• Time series over noise. You turn economic hypotheses into testable time-series models: stationarity, autocorrelation, AR/MA/ARIMA, regularized regression, etc.
• Unstructured text to signal. You build in Python and SQL on AWS with a Snowflake DWH, and use LLMs to turn alternative data signals into tradable signals.

The experience you bring

• First full-time experience (1-2 years) in quantitative research or data science in the investment domain, or several substantial internships in those areas during your studies.
• A completed Master's or PhD in mathematics, physics, computer science, statistics, economics or finance, with excellent results.
• Command of the statistical models and frameworks we use daily: probability, regression, time-series analysis, and first exposure to machine learning.
• Strong coding skills in Python and SQL.
• Experience with leveraging LLMs to conduct research, designing your own investment strategies or building personal side projects.
• You communicate fluently in English, our working language. Fluency in German is not required.

2 reasons why you should not apply

• You want to maintain and monitor models someone else built? This is a role for builders: you develop and deploy what shapes our investment decisions, and own it from hypothesis through backtest to production.
• You are looking for high-frequency trading, or for purely systematic research? Our funds have long-only strategies and we follow a quantamental strategy equally leveraging fundamental analysis and systematic.

Your mindset

• You are passionate about stocks, financial markets, and technology.
• You are AI-pilled and actively think about automating and advancing your own remit.
• You are a curious person with a strong willingness to learn and consistently improve.
• You are a team player, seeking to thrive in a collaborative, and high-performance environment.
• You think outside of the box and and are comfortable with generating new, ambiguous ideas.

YOUR PROFILE

What we offer

• Become part of a unique success story in European asset management, with real influence over a concentrated, high-conviction portfolio.
• Work with terabytes of data, advanced research tools, and proprietary alternative data you will not find at traditional asset managers.
• A motivated, international team of 15 nationalities with flat hierarchies and direct access to our management team and investors.
• Day 1 ownership of challenging, varied work, a steep learning curve, and a transparent, appreciative feedback culture.

OUR BENEFITS

CONTACT US & DISCLAIMER.

CONTACT INFORMATION