Quantitative Researcher, All Streams

Posted 24 Days Ago
2 Locations
In-Office
Entry level
Financial Services
The Role
As a Quantitative Researcher, you'll build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.
Summary Generated by Built In


We are looking for Quantitative Researchers to join our team in Yerevan. You will have a chance to build alphas, and conduct research working with datasets covering different markets. You’ll engage in meticulous research trying to explore the intricate mechanics of financial markets. The role demands sharp analytical skills, a relentless commitment to excellence, and a passion for uncovering hidden patterns in the data. If you are driven by intellectual challenges and thrive in solving complex problems, this role offers an unparalleled opportunity.
Our team values determination, precision, and the ability to think critically and creatively. While the work is demanding, the rewards are significant, both in the impact of your contributions and the growth you’ll achieve in this collaborative and high-performance environment. We rely on people’s autonomy and provide freedom to create the best algorithms in finance, while truly being attentive to a fundamentally important asset - communication.


Location

Yerevan, Armenia and London, UK and Austin, TX (Hybrid mode with 3 days in-office requirement)


Key Responsibilities

  • Build statistical and predictive models

  • Manage all aspects of the research process, including methodology selection, data collection/normalization and analysis, prototyping, backtesting, and performance monitoring

  • Apply rigorous modeling techniques to explore variety of datasets

  • Build new and improve existing signals (long-term) 

  • Optimize quantitative code and numerical methods

  • Adapt, fix, write tests, and in some cases re-implement strategies execution code


Basic Requirements

  • Physics, Mathematics, Computer Science, Engineering or other technical degree 

  • Math skills: statistics, linear algebra, optimization etc

  • Strong critical thinking skills with an analytical and creative approach to problem-solving

  • Practical Knowledge of Python and Python libraries (NumPy, Pandas etc) 

  • Detail-oriented approach

  • Written and Verbal English in full-working-proficiency level


Nice to have Requirements

  • Phd / MSc degree in  Physics, Mathematics, Computer Science, Engineering or similar area

  • Practical knowledge of C++ or Java

  • Competitive Programming Experience (participation in International STEM Olympiads is a huge plus)


What you’ll get  
   

  • On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from

  • Build Strategies while becoming the best at what you do

  • Professional guidance from experienced mentors


What makes you a match

  • You LOVE solving technical and math problems!

  • You love to code and play with data

  • You are willing to explore new articles and implement suitable ideas

  • Difficult problems make you excited

  • You are not afraid of unknown and love to learn

  • You have A LOT of passion and drive


Benefits

  • Health insurance

  • Flexible sick time policy

  • Office Lunches

 

Top Skills

C++
Java
Numpy
Pandas
Python
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The Company
HQ: Austin, TX
79 Employees
Year Founded: 2009

What We Do

Teza Technologies is an innovative quantitative asset management firm founded in 2009 by high-frequency trading expert Misha Malyshev. Our multi-strategy, multi-PM platform is founded on microstructure data and signals. Quantitatively-informed digital assets strategies complement our core global futures and stat arb strategies. We pride ourselves on attracting and retaining top talent, developing strategies with a data-driven and science-backed methodology, and continuously innovating in pursuit of alpha for our clients. Our 70 employees are distributed across offices in Austin, New York, Chicago, and Shanghai.

phone: 312.768.1600
inquiries: [email protected]
candidates: [email protected]

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