Our Vision
At Zenith Investments, we're making strategic investment in startups and merging them to create Zenith AI Company. Our goal is to build a complete AI stack such that it delivers real outcomes at lowest possible costs per token and is compute efficient in terms of AI inference.
We are Limited Liability Partnership (LLP) locations in Germany, Spain, UK, and the US and six (6) delivery centers acquired through strategic investments.
Current Team Expertise Areas
Expertise in supervised, unsupervised, and reinforcement learning to model financial data and predict market trends.
Graph-based modeling to correlate between equities and fixed income securities etc.
Language models and semantic analysis for processing financial information.
Integrate alternative data to generate proprietary trading signals, such as gauging market sentiment or detecting events impacting asset prices.
Designing and operating reliable, scalable data pipelines and platforms that efficiently ingest, transform, store, and serve data. Also, ensuring data quality, governance, observability, and accessibility for analytics, AI, and business applications.
Join Our Team
We are looking for strong collaborators who will work as quants, data scientists, and engineers, ensuring strategy development and execution.
Candidates with a track record of innovation, such as publications in reputed international journals and contributions to open-source projects, will stand out as leaders in building our vision.
Expertise Required
We are looking for candidates with advanced proficiency in machine learning, particularly in deep learning architectures like transformers, LSTMs, and graph neural networks, implemented in frameworks such as PyTorch or JAX.
You should excel in natural language processing for sentiment analysis, time-series modeling for forecasting (e.g., using temporal convolutional networks), and reinforcement learning for adaptive AI strategies.
Expertise in feature engineering, especially with data and model interpretability, is essential to ensure robust, compliant systems that meet regulatory standards for regulated industry applications.
Expertise Required
If you are someone with demonstrated deep knowledge of mathematical disciplines critical to quantitative sciences, including stochastic processes, measure theory, and matrix/tensor analysis, we would love to hear from you.
We also expect proficiency in combinatorial optimization and convex/non-convex optimization.
High-performance computing skills, including GPU/FPGA programming and distributed systems (e.g., CUDA, Spark), are necessary to achieve low-latency execution.
Get In Touch
London, UK
contact (at) ZenithAICompany (dot) com