Junior Quant Researcher (m/f/d)

BIT Capital

Berlin

Vor Ort

EUR 55.000 - 90.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Ownership of models
Global team
Direct management access
Flat hierarchy

Zusammenfassung

BIT Capital is seeking a Junior Quant Researcher to own alpha signals and risk models for Europe’s leading tech funds. You will work with a small quants team reporting to the Director of Systematic Strategies & Risk, collaborating closely with Portfolio Management and Fundamental Research.

You will spend most of your time on research, backtesting, and idea generation while also implementing production code to push models into live environments.

Qualifikationen

  • Master's or PhD in mathematics, physics, computer science, statistics, economics or finance with excellent results.
  • Strong coding skills in Python and SQL.
  • Fluent English; German not required.

Aufgaben

  • Own alpha signals and risk models for Europe’s tech funds.
  • Turn hypotheses into testable time-series models and backtest rigorously.
  • Develop production code to deploy models in live trading environments.
  • Collaborate with Portfolio Management and Fundamental Research teams.
  • Leverage AWS, Snowflake, and LLMs to turn alternative data into signals.

Kenntnisse

Quantitative research
Time-series analysis
Statistical models
English fluency
Team collaboration

Ausbildung

Master's or PhD in mathematics, physics, computer science, statistics, economics or finance

Tools

Python
SQL

Jobbeschreibung

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.
  • 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.
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.
About us

BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company. With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world. The guiding principle is always to be “Ahead of the Curve

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