RT
Radix Trading
Data Engineer

Quantitative Business Strategist

On-siteMidData Engineerposted 1mo ago
Role summaryAI-generated

This role bridges business strategy and technical execution, requiring a mid-level engineer to design scalable analytics pipelines (from PoCs to petabyte-scale production) and optimize firm-wide processes in research, tech, and operations—acting as an internal consultant to drive cross-team improvements.

Skills required

About this role

As part of the Transformation Team, you’ll work directly with a range of teams and their leads to design and execute tools and processes for business optimization.

You’ll build analytics and conduct research to help make business decisions. Specifically, you will work as internal consultants, product managers and strategists to help make intra-team and firmwide improvements.

Qualifications

We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. The individual wants to help optimize the existing business (research, technology, and operations) by improving code, communication and anything that it takes to get the job done.

And to do that, you’ll need the following:

> Ability to start with an idea and see it through small scale proofs of concept to a petabyte scale production-ready pipeline that is running firmwide.

> Acting like an owner that focuses on actual business impact rather than amount of code written ---- able to understand the full scope and depth of the issue and to deliver long-term solutions that will stand the test of time.

> Ability to filter out irrelevant details and still identify key factors that will drive PnL; then be able to iterate quickly towards a better solution.

> Strong self-awareness and high emotional intelligence to assist with interpersonal and communication improvements. Able to explain complex problems; can sell value of own work to others; has willingness to have difficult conversations when necessary.

> Technically capable in C++ and Python. Willing to learn new technologies as necessary.

Company Description

Radix Trading is a proprietary firm focused on quantitative research and scientific trading. We’re one of the most active liquidity providers on electronic exchanges globally, and have leveraged a culture of open, collaborative innovation to scale the reach of our ideas and pace of iteration, without having to scale our headcount (we’re still less than 150 people across Chicago, Amsterdam, and NYC).

In our industry, the vast majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than the day prior, glean insights from each idea, and leverage individual contributions to the fullest across our entire organization.

We’re led by Ben Blander and Michael Rauchman, who played key roles in the rise of electronic trading, but both recognized a major gap in the industry — a true focus on research processes coupled with an open organizational structure that fosters effective collaboration.

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Ben Blander - former head of Citadel’s high frequency group and a key contributor in growing their P&L from $75 million in 2005 to $1.15 billion in 2008 (Source: http://www.cnbc.com/id/39099331). Previously Ben earned a PhD in Math (Algebraic Topology under Peter May) from the University of Chicago.

Michael Rauchman - formerly GETCO's CTO, head of Americas equities, and global head of ForEx. As a hands-on leader, Michael was instrumental in the development of many trading strategies as well as the underlying architecture and code.

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Why trading?

If you want to get near-immediate feedback on your best ideas, while leveraging cutting-edge technology, the trading industry is hard to beat. Every day we’re competing with some of the smartest, most driven people in the world trying to take our money -- and if we don’t stay at the very top of our game in research, technology, and economics, they will.

And while the highly-publicized wave of high-frequency or “flash” trading based on sheer speed of execution might have reached its limit, we see continued opportunities with our strategy of using statistical research to outsmart the competition.

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Quantitativ… at Radix Trading — Chicago | finddatasciencejobs