Senior Signal Processing Specialist (Electrical & Telecommunications)

At NovoXpert, we are transforming financial markets with cutting-edge AI solutions. As part of our growing tech team, we seek a passionate Senior Signal Processing Specialist to help develop advanced algorithms for time series analysis and financial forecasting. If you are excited by challenges at the intersection of signal processing and financial data, this is your role!

Responsibilities:

• Analyze and process financial and time series data for prediction and optimization.
• Develop and implement algorithms for time series forecasting, including advanced wavelet and SSA methods.
• Apply Fourier transformations and signal processing techniques to enhance data quality.
• Explore and apply noise reduction, compression, and sampling techniques.
• Collaborate with AI and development teams to integrate signal-processing solutions into financial models and products.

Requirements:

• Advanced degree in Electrical Engineering or Telecommunications, with a focus on signal processing.
• Proven expertise in time series analysis and forecasting.
• Proficiency in wavelet transformations and Singular Spectrum Analysis (SSA) techniques.
• Strong understanding of Fourier transformations and their applications in signal processing.
• Familiarity with concepts of compression, sampling, and noise reduction.
• Strong coding skills in Python, MATLAB, or similar platforms used for signal processing.

Nice to Have:

• Experience working with financial data or algorithms.
• Knowledge of machine learning techniques for signal processing.
• Familiarity with big data tools or frameworks (e.g., TensorFlow, PyTorch).

Benefits of Working with NovoXpert:

• Military service deferment (Amriyeh) for eligible candidates.
  Flexible working hours tailored to your productivity.
  Special packages and gifts for occasions.
  Professional growth in a dynamic and collaborative startup environment.
  Competitive compensation and performance bonuses.
  Access to cutting-edge tools and technology for R&D.