Data Scientist / Quantitative Researcher

Madfish; United Kingdom; Remote; GBP 50,000 - 80,000; Full time

Job summary

A fintech company is seeking a skilled Data Scientist to solve algorithmic trading challenges and enhance cryptocurrency analysis. Ideal candidates should have over 3 years of experience, proficiency in Python, and strong theoretical knowledge. The role offers comprehensive health benefits, opportunities for personal development, and a collaborative work environment.

Benefits

Comprehensive medical insurance

Coverage for professional development

Access to legal assistance

Corporate laptops

Qualifications

• 3+ years of experience in Data Science.
• Excellent command of Python and OOP principles.
• Deep knowledge in linear algebra, probability theory, and statistics.
• Experience with data preprocessing and machine learning techniques.

Responsibilities

• Solving algorithmic trading problems like regression and classification.
• Working with cryptocurrency quotes.

Skills

Data Science experience

Python proficiency

Knowledge of OOP principles

Deep understanding of linear algebra

Mathematical statistics

Experience with numpy and pandas

Classical machine learning techniques

Knowledge of TensorFlow

Visualization skills with TensorBoard

Experience with PyTorch

Education

PhD in Data Science / Machine Learning

Tools

TensorFlow

PyTorch

matplotlib

seaborn

Job description

Overview

We are Onicore — fintech company specializing in developing products for cryptocurrency operations.

Registered in the USA, our company is powered by a talented Ukrainian team, working across the globe.

📊 Now we’re on the hunt for a specialist who will drive the project of algorithmic trading.

Your skills

• 3+ years of experience in Data Science;
• excellent command of Python, understanding of the principles of OOP;
• deep knowledge in linear algebra, probability theory and mathematical statistics;
• data collection and preprocessing (numpy, pandas, scikit-learn, ta-lib);
• experience working with all types of classical machine learning (Supervised Learning, Unsupervised Learning, Reinforcement Learning);
• development experience and deep understanding of the principles of the architectures: RNN, LSTM, GRU, CNN, Transformer in the field of analysis and prediction of time sequences (time series predictions);
• confident use of both high-level and low-level APIs for TensorFlow (writing custom training loops, custom metrics & loss_functions).
• Knowledge of PyTorch is welcome;
• the ability to visualize the learning process using TensorBoard;
• boosting neural networks (Distributed XGBoost/LightGBM);
• visualization of results (matplotlib, seaborn).

Would be a plus:

• experience with currency markets;
• PhD degree in the field of data science / machine learning.

Your responsibilities

● solving algorithmic trading problems: regression/autoregression, classification of timeseries/financial series, working with cryptocurrency quotes.

What’s in it for you?

• Health first: Comprehensive medical insurance.
• Keep growing: We cover courses, conferences, training sessions, and workshops.
• Stay active mentally and physically: Sports / hobby / personal psychologist to fuel yourself.
• We\'ve got your back: Access to legal assistance when you need it.
• Inspiring vibes: Join a motivated, goal-oriented team that supports each other.
• Make a difference: Have a direct impact on shaping and growing the product.
• Work smarter: Corporate laptops to help you do your best work.

Join our team and help us level up!