2 дня назад
Quantitative Researcher (AI & Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher (AI & Machine Learning): Conducting research on FX markets and currency risk management using quantitative, statistical, machine learning, and AI techniques with an accent on Python-based research prototypes and analysis of structured and unstructured data. Focus on identifying market signals, rigorously testing hypotheses, and applying emerging AI and quantitative finance methods to real-world financial risk problems.
Location: London, UK, with hybrid and remote working arrangements
Company
provides automated FX and cash management solutions for fund managers, institutions, and global corporates, with headquarters in London.
What you will do
- Research FX markets and currency risk management using quantitative, statistical, machine learning, and AI techniques.
- Analyse structured, semi-structured, and unstructured data to identify insights, signals, and opportunities for improved risk management.
- Evaluate developments in quantitative finance, AI, and machine learning and apply relevant methods to financial market problems.
- Develop research prototypes and analytical workflows in Python.
- Support the deployment of successful research into production in collaboration with technology teams.
- Stay current with developments in financial markets, quantitative research, AI, and machine learning.
Requirements
- Recent graduate with a BSc or MSc in a quantitative or technical field such as mathematics, quantitative finance, physics, computer science, statistics, or engineering.
- Strong Python programming skills, including NumPy, Pandas, scikit-learn, data structures, algorithms, and computational complexity.
- Experience with machine learning and AI techniques, or the ability and willingness to learn them quickly.
- Strong analytical skills, including hypothesis formulation, rigorous testing, and interpretation of empirical results.
- Demonstrable interest in FX, financial markets, quantitative investing, or risk management.
Nice to have
- Experience with financial time-series analysis or quantitative research.
- Experience with agentic frameworks such as LangGraph, RAG, graph databases, or knowledge graphs.
- Experience with cloud services, preferably AWS.
- Familiarity with Docker, deployment workflows, relational databases, and NoSQL databases.
Culture & Benefits
- Flexible working arrangements including remote working.
- 25 days of paid annual leave plus one additional day per year of service.
- Professional development, training opportunities, and involvement in key projects.
- Medical and dental insurance.
- EV scheme, cycle-to-work scheme, enhanced maternity and paternity leave, and quarterly charity leave.
Hiring process
- Submit a CV for review.
- A member of the team will contact shortlisted candidates to discuss the next steps.
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