About the role
The Senior Quantitative Researcher will have the opportunity to try to ???crack??? the financial markets, learn a lot, and have some fun while at it.?? They will be working with top-quality financial and alternative data, cutting-edge infrastructure, and vast computational resources to find a systematic and sustainable advantage in the markets. The role will involve partnering and growing together with experienced investment professionals, data scientists, and software developers in a team-based environment in the office. The work will be both intellectually challenging and satisfying and the researcher will be rewarded proportionately to the out-of-sample performance of their models. Quantum Zen Systems is committed to providing flexible career development and long-term growth opportunities.
Beyond that, the Quantum Zen Systems team values self-awareness, intellectual curiosity, and a team-player mentality. You will be working side-by-side and learning from experienced investment professionals and quantitative researchers.
Responsibilities
- Research, design, develop and deploy advanced predictive machine learning models (hands-on)
- Develop and implement systematic trading strategies, based on the model predictions
- Read financial literature and academic papers in search of market inefficiencies and inspiration
- Form hypotheses in relation to market patterns and dependencies and test them rigorously
- Learn about financial markets and instruments and find ways to predict their future performanc
- Think creatively, innovate and solve complex problems
Technical Requirements
- At least a graduate degree in a technical field
- Eagerness to learn about financial markets and ways to predict performance of businesses and their stock prices
- 5+ years of experience analyzing large amounts of data using Python or R
- Extensive experience training and implementing models with Scikit-learn, Pytorch and/or Tensorflow
- Understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression
- A track record of demonstrated dedication and perseverance in solving complex problems
- Excellent English, both spoken and written
Soft skills requirements
- Excellent communication skills, both written and oral
- Self-awareness, intellectual curiosity, and a team-player mentality
- Self-starter, enthusiastic and positive thinker
Nice to Have
- Degree(s) in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science
- Exposure to packages such as pandas, NumPy, statsmodels, sklearn, scipy, matplotlib, and TensorFlow. C++ experience is an advantage
- Exposure to the Agile approach and methodology
- Experience or at least interest in machine learning techniques, time series analysis, and econometrics
- Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other autoencoders
- KX / KDB+ / q experience
- Basic understanding of equity markets
Company Culture
- Meritocratic, Ego-free, highly driven team environment
- Challenging problems and innovative problems to solve every day
- Opportunity to innovate and explore research projects of personal interest, while making a meaningful impact on the business
Benefits & Work Conditions
- Work hours: usually 8 am ??? 6 pm Belgrade time, 100% in the office.
- 28 days of paid time off (includes 6 sick days)
- Multiple parking and garage spots in the office building
- Unlimited high-quality espresso and coffee in the office
- Lunch is provided in the office on Mondays and Fridays
- Healthy snacks and beverages in the office
- Free fitness/gym subscription
- Subsidy towards additional health insurance
- Team building events
- Modern office with a pleasant environment, high-tech equipment, and a great location ??? 180-degree city and mountain views from the top floor
- Office kitchen (microwave, fridge, espresso machine, etc.) and 2 bathrooms
- Referral program for bringing in new talent
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We are proud to be an equal-opportunity workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.