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AIML Engineer Financial Prediction & Quant Intelligence
Job Location:
Monthly Salary:
Posted:
6 August 2026 (3 hours ago)
Posted:
Application Deadline:
4 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Requirements:
- Strong proficiency in Python PyTorch or TensorFlow.
- Handson experience in NLP ML timeseries forecasting and computer vision.
- Solid understanding of financial markets macroeconomic indicators and technical analysis.
- Experience building endtoend ML pipelines and deploying models to production.
- Familiarity with MLOps tools (MLflow W&B) Docker FastAPI and cloud environments.
- Background in fintech algorithmic trading or financial analytics.
- Experience with LLMs embeddings RAG pipelines and transformer architectures.
- Knowledge of backtesting frameworks (Backtrader Zipline or custom engines).
- Experience with distributed computing (Spark Ray).
Responsibilities:
- Develop linear and datadriven forecasting models for macroeconomic indicators (GDP CPI employment).
- Build predictive models for onchain metrics DVOL volatility indices and other market signals.
- Design datasettled forecasting instruments for expectationbased trading.
- Collaborate with product and engineering teams to integrate models into production systems.
- Create rulebased and MLdriven technical indicators for short and midterm trading strategies.
- Build ML models for pattern recognition volatility regime detection and microstructure analysis.
- Conduct backtesting feature engineering and model optimization.
- Work closely with traders and analysts to convert signals into actionable insights.
- Develop financial NLP models (FinBERTstyle transformerbased LLMbased) for realtime sentiment scoring.
- Build systems to evaluate market impact of news economic releases and social media signals.
- Design pipelines for ingestion cleaning ranking and scoring of textbased financial data.
- Integrate sentiment signals into trading and forecasting models.
- Apply computer vision techniques to analyze candlestick charts indicators and visual market patterns.
- Build CNN/ViTbased models to detect technical patterns (breakouts divergences head & shoulders etc.).
- Convert chart images into structured features for ML and quant models.
- Work with data engineering teams to generate and maintain chartbased datasets.
Key Skills
- All-Source Intelligence
- Military Intelligence
- GIS
- ICD Coding
- Intelligence Experience
- Military Experience
- Analysis Skills
- Microsoft Powerpoint
- Joint Operations
- Intelligence Analysis
- Leadership Experience
- Writing Skills
