Senior Accountant – Malta (Hybrid)
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Provide accounting services to clients in Malta, guiding junior accountants and preparing audit files, management accounts, VAT returns, and recap declarations.
Deschide
Poesis AI este un administrator de investiții construit în jurul inteligenței artificiale, care dezvoltă un model investițional de mari dimensiuni, aflat într-un proces continuu de învățare, pentru investitori profesioniști și instituționali. Platforma antrenează agenți în medii de piață bogate în date, pentru a genera semnale de tranzacționare, a testa strategii, a aloca capital și a gestiona riscul pe piețele financiare în timp real. Activitatea sa reunește inteligența artificială, învățarea automată și administrarea portofoliilor, iar echipa are experiență în finanțe și învățare automată.
Lead Quantitative Finance Engineer
Build AI-driven investment systems at Poesis AI, from financial data pipelines and quantitative models to backtesting and production tools. Partner with research and engineering teams to turn experiments into systems that inform investment decisions.
Descriere
- Turn financial research and model prototypes into reliable production systems
- Prepare complex financial data for rigorous modeling and investment research
- Build scalable, reproducible systems for feature generation, backtesting, and model evaluation
- Stress-test models and signals to identify what holds up and where they fail
- Solve engineering challenges in moving research from experimentation to production
- Prepare large financial datasets
- Design and implement quantitative models and agents
- Create tools for testing and evaluation
- Collaborate with the CEO, Chief Scientist, and AI and engineering teams on quantitative systems that support the investment process
- Bring new ideas from experimentation into production and inform investment decisions
Cerințe
- Build infrastructure, data pipelines, or analytical tools for developing and evaluating financial models or trading strategies
- Work with complex linguistic and numerical data and produce rigorous, reproducible analysis
- Bring strong quantitative foundations
- Reason clearly about statistical and modeling problems
- Balance rapid iteration with sound engineering quality
- Explain technical findings and experimental results to leadership and technical and nontechnical audiences
- Hold a BS, MS, or PhD in Computer Science, Mathematics, Statistics, Physics, Finance, or a related quantitative field
- Preferred: full-time experience in finance, data science, or machine learning engineering
- Preferred: experience integrating Bloomberg, CapIQ, FactSet, or Refinitiv data into quantitative research workflows
- Preferred: familiarity with portfolio optimization, risk modeling, or financial time series
- Have current legal authorization to work in the United States
Beneficii
- Equity and carry, a share of fund profits
- Medical coverage
- Dental coverage
- Vision coverage
- Catered lunches
- Commuter benefits
- Relocation allowance
- Continuing work visa sponsorship for full-time employees
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