We are developing a private, exchange-based quantitative trading system operating in fast, event-driven markets. The system ingests historical and live data, produces proprietary probability-based scores and entry signals, and executes trades via an exchange API with full order lifecycle and position management.
Although the underlying markets are non-financial, the execution mechanics, order handling, and risk management are directly analogous to financial exchange trading systems.
This is a serious engineering role — not a consumer app, signals product, or website build.
Scope of Work 1. Data & Performance Pipeline
Extend and structure historical performance datasets
Implement clean, reproducible data models
Validation and sanity checks
Support ongoing ingestion of new data
(Data sources and feature logic will be disclosed post-NDA)
2. Scoring Framework & Entry Gates
Implement a modular scoring framework with configurable parameters
Support multi-component scoring and gating logic
Produce transparent outputs (scores, eligibility flags, reason codes)
Architecture must allow formula changes without refactoring core code
(Scoring formulas and thresholds are proprietary and shared only post-NDA)
3. Exchange Execution & Risk
Harden exchange API interaction
Market selection, order placement, monitoring, and reconciliation
Implement cash-out / hedging logic via offsetting orders
Logging, error handling, dry-run and safety controls
4. Backtesting & Reporting (Extension)
Backtest entry/exit rules
Basic performance metrics (ROI, drawdown, hit rate)
Exportable results for analysis
Technical Requirements
Essential
Strong Python
API-driven systems
Event-driven / stateful workflows
Git-based development
Highly Desirable
Exchange or broker APIs (financial or non-financial)
Order lifecycle management and partial fills
Streaming data
PostgreSQL / SQLite / Parquet
Backtesting frameworks
Engagement Model
Initial paid technical alignment / audit
Milestone-based delivery
Potential for ongoing collaboration
Application Requirements
Please include:
Examples of relevant systems you’ve built (trading, execution, APIs, data pipelines)
How you would architect separation between signals and execution
Your experience handling live order risk
Confirmation you are comfortable working under NDA once selected
Important Notes
No proprietary models, formulas, or datasets are shared at this stage
NDA and IP ownership agreement required before detailed implementation
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