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Algorithmic Trading Developer - Job Opportunity at Winbold

Mumbai, India
Full-time
Mid-level
Posted: April 19, 2025
On-site
USD 60,000 - 90,000 annually based on Mumbai market rates for mid-level algo trading developers

Benefits

Startup environment offering significant learning and growth opportunities
Exposure to cutting-edge trading technologies and market strategies
Direct involvement in building core trading infrastructure

Key Responsibilities

Lead development of algorithmic trading strategies using Python, Backtrader, and VectorBT with direct P&L impact
Architect and optimize high-performance trading systems handling real-time market data
Drive technical innovation in trading strategy implementation and system architecture
Collaborate with quantitative teams to transform mathematical models into production trading systems
Spearhead performance optimization and risk management system development

Requirements

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field

Experience

3+ years (implied from "NO FRESHERS")

Required Skills

Python programming Backtrader VectorBT Financial markets knowledge Trading strategies Data analysis Statistical modeling Machine learning Problem-solving Communication skills
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Sauge AI Market Intelligence

Industry Trends

The algorithmic trading sector is experiencing rapid growth with increased adoption of Python-based frameworks for strategy development and backtesting Market volatility and regulatory changes are driving demand for more sophisticated trading systems with robust risk management capabilities Integration of machine learning with traditional trading strategies is becoming a key differentiator in the industry

Role Significance

Likely small, focused team of 3-5 developers given startup environment and specialized nature of work
Mid to senior-level position with direct impact on trading strategy development and system architecture

Key Projects

Development and deployment of automated trading strategies Building and optimizing backtesting frameworks Real-time trading system implementation Risk management system development Performance optimization and scalability improvements

Success Factors

Strong foundation in quantitative finance and programming Ability to translate complex trading strategies into efficient code Deep understanding of market microstructure and trading mechanics Experience with high-performance computing and real-time systems Excellent problem-solving skills with attention to detail

Market Demand

High demand with significant growth trajectory due to increasing automation in financial markets and expansion of algorithmic trading across asset classes

Important Skills

Critical Skills

Python development expertise with focus on financial applications Deep understanding of algorithmic trading frameworks and best practices Strong quantitative analysis and statistical modeling capabilities

Beneficial Skills

Machine learning and AI application in trading High-frequency trading system optimization Risk management framework development Cloud infrastructure for trading systems

Unique Aspects

Direct involvement in core trading strategy development at an early-stage company
Opportunity to shape trading platform architecture from ground up
Exposure to full trading technology stack development

Career Growth

2-3 years for advancement to team lead, 4-5 years for senior management roles

Potential Next Roles

Lead Algorithmic Trading Developer Quantitative Trading Strategy Head Trading Technology Architecture Lead Algorithmic Trading Team Manager

Company Overview

Winbold

Early-stage startup focused on democratizing algorithmic trading through innovative platform development

Emerging player in the algorithmic trading platform space with potential for significant growth
India-based with focus on domestic market expansion
Fast-paced startup environment emphasizing innovation and technical excellence
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