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Fionics

Fionics

fionics.io

4 Jobs

13 Employees

About the Company

Fionics is the no BS resource for Quant Traders, Researchers, Developers & PMs evaluating their career. Follow our page for exclusive insights into the world of Quant Trading.

Listed Jobs

Company background Company brand
Company Name
Fionics
Job Title
Machine Learning Quant
Job Description
**Job Title:** Machine Learning Quant **Role Summary:** Develop and deploy profitable alpha-generating strategies by applying advanced machine learning techniques to quantitative trading. Collaborate with a research-driven team to continuously innovate and integrate cutting‑edge ML models into the firm’s trading pipeline. **Expectations:** - Demonstrate at least 2 years of proven success in creating machine‑learning‑based alpha strategies. - Maintain up‑to‑date knowledge of ML, statistical methods, and financial market developments. - Deliver robust, scalable models that generate measurable trading performance. **Key Responsibilities:** - Design, implement, and back‑test ML‑driven trading signals and systematic strategies. - Build data pipelines and feature engineering workflows using Python libraries. - Optimize model performance through hyperparameter tuning, validation, and ensemble techniques. - Integrate models into production trading systems, ensuring low‑latency and reliability. - Conduct research on emerging ML algorithms, statistical methods, and market microstructure to enhance strategy portfolio. - Document methodology, results, and risk assessments for internal review and compliance. **Required Skills:** - Proficiency in Python with extensive experience in libraries such as Scikit‑learn, TensorFlow, Keras, PyTorch, Pandas, NumPy. - Strong foundation in machine learning, deep learning, and statistical modeling. - Familiarity with quantitative finance concepts, time‑series analysis, and market data handling. - Ability to translate research findings into production‑ready code. - Excellent problem‑solving skills and a data‑driven mindset. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, Finance, or a related quantitative discipline (Master’s or PhD preferred). - Relevant certifications (e.g., CFA, FRM, or ML/AI certificates) are a plus but not mandatory.
United states
Remote
19-09-2025
Company background Company brand
Company Name
Fionics
Job Title
Quantitative Developer (HFT - New Desk - Not Tower) (London)
Job Description
London, United kingdom
On site
25-09-2025
Company background Company brand
Company Name
Fionics
Job Title
Quantitative Researcher
Job Description
**Job title** Quantitative Researcher **Role Summary** Investigate and construct alpha-generating trading signals, designing advanced statistical and machine learning models. Work closely with portfolio managers and traders to deploy strategies within systematic portfolios, ensuring robust performance and scalable implementation. **Expectations** - Deliver rigorous research outputs that translate into actionable trading signals - Maintain a strong record of published or implemented models with demonstrable alpha - Collaborate cross‑functionally, integrating academic insights with operational requirements **Key Responsibilities** - Conduct original research to identify new alpha factors and anomaly sources - Develop, backtest, and refine statistical and ML frameworks for signal generation - Partner with PMs and traders to assess signal viability, execution logistics, and risk integration - Document methodology, assumptions, and performance metrics for stakeholder review - Continuously monitor model performance, update techniques, and adapt to market evolution **Required Skills** - Advanced quantitative and statistical analysis (e.g., regressions, time‑series models) - Proficiency in programming languages such as Python, R, or C++ - Experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch, etc.) - Strong data manipulation and cleaning capabilities (SQL, pandas, etc.) - Familiarity with trading infrastructure, risk controls, and portfolio construction basics - Ability to communicate complex findings clearly to technical and non‑technical audiences **Required Education & Certifications** - PhD or Master’s degree in Quantitative Field (Finance, Mathematics, Physics, Engineering, Statistics, Computer Science) - Equivalence of 3+ years in quantitative research roles (internships, industry, or academia) - Proven research track record (publications, funded projects, or documented alpha generation) ---
London, United kingdom
Hybrid
Junior
13-11-2025
Company background Company brand
Company Name
Fionics
Job Title
Software Engineer | High-Frequency Trading
Job Description
Job title: Software Engineer | High‑Frequency Trading Role Summary: Design, develop, and maintain high‑performance trading systems, market data ingestion pipelines, and quantitative research platforms for proprietary and systematic trading firms. Expactations: Minimum 2+ years of professional software engineering experience. Demonstrated ability to write efficient, robust code in C++, Python, and/or Java. Prior exposure to trading environments preferred but not mandatory. Key Responsibilities: - Build and evolve trading platforms, risk management modules, and data infrastructure. - Develop quantitative research tools and analytical frameworks. - Optimize performance‑critical components to meet stringent latency and throughput targets. - Collaborate with quant teams to implement new strategies and features. Required Skills: - Advanced proficiency in C++ (high‑performance systems), Python, and/or Java. - Strong foundations in data structures, algorithms, and system design. - Experience with concurrent and low‑latency programming paradigms. - Familiarity with trading concepts, market microstructure, and risk controls (preferred). Required Education & Certifications: Not specified.
Chicago, United states
Hybrid
Junior
04-12-2025