Quantitative Researcher

TUM International GmbH; City of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A financial technology firm in the UK is seeking a Quantitative Researcher to develop models and strategies for pricing and trading financial instruments. Working closely with a knowledgeable team, you will need to apply logical thinking and programming skills in Python to contribute to significant projects. The ideal candidate will exhibit intellectual curiosity and a passion for solving complex problems. PhD or research experience is advantageous, while collaboration and communication are essential.

Qualifications

• Ability to apply logical and mathematical thinking to various problems.
• Strong programming skills, particularly in Python.
• Intellectually curious and eager to learn and admit mistakes.

Responsibilities

• Build models and strategies for pricing and trading financial instruments.
• Work collaboratively with experienced researchers.
• Dive deep into market data and troubleshoot distributed training.

Skills

Logical and mathematical thinking

Strong programming skills in Python

Intellectual curiosity

Collaborative and precise communication

Education

PhD or research experience

Job description

About the position
We are looking for Quantitative Researchers tohelp us build models, strategies, and systems thatprice and trade financial instruments. You’ll workside by side with experienced researchers who arecommitted to teaching, guiding, and supporting ournewest hires, learning how we think aboutexperiment design, dataset generation, time seriesanalysis, feature engineering, and model buildingfor financial datasets.

At Jane Street, our researchers, engineers, andtraders sit a few feet away from each other andwork together to train models, architect systems,and run trading strategies. We work with petabytesof data, a computing cluster with hundreds ofthousands of cores, and a growing GPU clustercontaining thousands of high-end GPUs. Dependingon the day, we might be diving deep into marketdata, tuning hyperparameters, debuggingdistributed training performance, or studying howour model likes to trade in production.

We don’t believe in “one-size-fits-all”modeling solutions; we are open to and excitedabout applying all different types of statisticaland ML techniques, from linear models to deeplearning, depending on what best fits a givenproblem. The most successful researchers will bedriven by a curiosity for how their contributionsfit into the larger picture of our tradingoperations, and how to adapt their findings intoactionable strategies.

About you
If you’ve never thought about a career in finance,you’re in good company. Many of us were in thesame position before working here. If you have acurious mind and a passion for solving interestingproblems, we have a feeling you’ll fit right in.You should be:

• Able to apply logical and mathematicalthinking to all kinds of problems
• Intellectually curious; eager to askquestions, admit mistakes, and learn new things
• A strong programmer who’s comfortablewith Python
• An open-minded thinker and precisecommunicator who enjoys collaborating withcolleagues from a wide range of backgrounds andareas of expertise

Most candidates will have experience with datascience or machine learning, but ultimately, we’remore interested in how you think and learn, thanwhat you currently know. PhD or other researchexperience is a plus.

If you’d like to learn more, you can read aboutour interview process and meet some of theteam.

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