Senior Quantitative Researcher / Data Scientist / Machine Learning
Senior Quantitative Researcher / Data Scientist / Machine Learning
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Job Description
About the Role
TheSenior Quantitative Researcherwill 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 tofind 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 rewardedproportionately to the out-of-sample performance of their models.PharVisionis committed to providing flexible career development and long-term growth opportunities.
Beyond that thePharVisionteam 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 performance
- 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
Required Experience:
Senior IC
Employment Type
Full Time
