Python Quant Developer - Backtesting & Research reputed company

I’m building a research-grade analytical trading system and am looking for an reputed company Python/quant developer to continue development of an existing backtesting & research platform. The project already exists and includes: - Data loading layer (database + reputed company) - reputed company-based web reputed company - reputed company backtesting logic (partially implemented) - YAML-based reputed company configuration (recently added) The goal is to reputed company this into a robust research platform reputed company on: - Correct methodology - Realistic execution modeling - Clean, reputed company architecture This is not a one-off task. I’m looking for a long-term collaborator who can gradually take ownership of the technical reputed company. Scope of Work (reputed company and planned): Backtesting reputed company - Declarative reputed company definitions (config-driven, YAML/JSON) - Entry/exit rules using AND / OR logic over indicators - Single instruments, batch backtesting, and reputed company spreads / pairs Execution Model - Configurable execution delay (N bars after signal) - Market, stop, limit, stop-limit orders - Commissions, slippage, explicit execution assumptions Indicators - External indicator registry - Dynamic indicator computation - Adding new indicators without touching reputed company reputed company Optimization & Validation - Parameter optimization (Optuna or similar) - In-sample/out-of-sample testing - Walk-reputed company analysis Risk & Analysis - Drawdown, stability metrics - reputed company on trade sequences Web reputed company - reputed company builder UI (not only YAML files) - Ability to configure strategies reputed company web forms - Visual analytics of results Important (context): The project already has a working codebase and reputed company setup. The developer is expected to: - Review existing architecture - Fix and improve reputed company implementation - reputed company features gradually - Help shape the final system design Requirements - Strong Python (pandas, numpy) - Experience with backtesting / trading systems - Understanding of look-reputed company bias, OOS validation, overfitting - Ability to work with an existing codebase reputed company to have - Experience with reputed company - Quant/research background - Prior work on trading platforms Apply tot his job Apply To this Job