Dickman Pious

Dear Hiring Manager,

I am writing to express my strong interest in joining your organization in a trading or quantitative finance role. My passion lies in systematic market mastery through continuous learning, rigorous backtesting, and infrastructure development. With over 6+ years of comprehensive trading experience across multiple global markets and a proven track record of building institutional-grade systems, I am confident that my unique combination of skills and experience makes me an ideal candidate for your team.

My approach to trading is fundamentally learning-driven and methodology-focused. I believe in the systematic cycle: learn market mechanics → create strategic frameworks → backtest rigorously → implement money management → optimize performance → scale infrastructure. My learning tools include historical data analysis, backtesting platforms, API integration, cloud computing, and automation frameworks. I've discovered shortcuts through pattern recognition, volatility modeling, risk-reward optimization, and systematic position sizing — all while maintaining strict emotional discipline and drawdown control.

Currently serving as a Parent Relations Executive at Guardian One Transport in Dubai, I manage parent-facing operations across elite campuses including AIPS, Oxford School, Glendale School, and RPS Ranches Primary in Arabian Ranches. While this role has significantly enhanced my stakeholder communication abilities and cross-campus operational coordination skills, I have simultaneously continued developing my proprietary Trader's Hub infrastructure and maintaining my passion for quantitative finance.

My systematic trading journey began in February 2019 at Amazon Development Center in Chennai, where I worked as an Image Associator & Visual Design Assistant. This experience taught me precision, pattern recognition, and systematic workflow optimization — skills that would prove invaluable in trading. From there, I embarked on my trading evolution with binary options fundamentals — where I learned the psychology of short-term market movements, developed disciplined entry/exit strategies, and achieved VIP Golden Tier status on IQ Option with a 70% win rate. This phase taught me emotional control, risk calibration, and position sizing — foundational skills that became the bedrock of my trading philosophy. I then learned forex market dynamics, created semi-automated trading scripts on MT4/MT5, backtested macro filter strategies, and mastered multi-timeframe confluence approaches.

The cryptocurrency phase (2020-2021) marked my evolution into algorithmic thinking — where I learned volatility compression patterns, developed breakout logic models, created scalping bots for Binance and Delta Exchange, backtested perpetual contract strategies, and achieved consistent 10% monthly ROI. This experience taught me automation principles, API integration, and real-time execution — skills that naturally led me to learn NSE equity markets, create scanner-based strategies, backtest sector rotation models, and implement institutional flow tracking systems.

My futures and options mastery (2021-2023) represents the most transformative period — where I learned complex derivatives mechanics, created multi-leg option strategies, developed theta decay models, backtested iron condor systems, implemented gamma scalping logic, and achieved over 120% annual ROI. During this phase, I mastered money management through dynamic position sizing, learned volatility overlay techniques, created capital efficiency models, and developed systematic risk management frameworks that could adapt to changing market conditions.

The ODTE breakthrough (2023-2024) came when I learned zero-day expiry mechanics, created real-time delta hedging strategies, developed time-decay acceleration models, backtested liquidity-aware routing systems, and achieved an exceptional 400% annual ROI through Charles Schwab (SPX/SPY) and Saxo Bank (AEX). Simultaneously, I learned cloud infrastructure, built proprietary trading systems with AWS hosting, created historical data pipelines, developed modular failover mechanisms, and mastered latency optimization techniques.

Throughout 2024's innovation phase, I learned custom indicator development, created proprietary scalping tools, developed volatility compression algorithms, built breakout logic systems across TradingView and MT5, backtested strategies across 12 years of historical data, and implemented comprehensive performance validation frameworks. This period taught me strategy diversification, multi-timeframe analysis, and regime-based adaptation.

The culmination is my 2025 Trader's Hub Integration — where I learned institutional deployment requirements, created a unified trading infrastructure, developed global broker integration, built allocator-ready dashboards, implemented strategy toggle systems, and designed modular API access for institutional scalability. This represents the synthesis of six years of learning — from basic binary psychology to institutional-grade infrastructure architecture.

What distinguishes me from other candidates is my systematic learning approach combined with verified performance across multiple asset classes. Throughout my journey, I consistently followed the cycle: learn market mechanics → create strategic frameworks → backtest rigorously → implement money management → optimize performance → scale infrastructure. My Trader's Hub represents this methodology's culmination — a unified portal for allocator onboarding with proven track record: 400% SPX ODTE ROI, 120% NSE options ROI, and 70% binary options win rate. I have mastered AWS-hosted systems with latency optimization and failover engineering, positioning myself as both technical architect and proven performer.

My strategic philosophy centers on selective market mastery — I learned to concentrate on NSE (India) and SPX (US) markets after analyzing their liquidity, volatility structure, and institutional flow characteristics. I deliberately exclude markets lacking sufficient edge, having learned that focus amplifies performance. This embodies my core belief: "Wherever I enter and learn, I succeed" — a philosophy proven across binary, forex, crypto, and options through consistent adaptation, rigorous backtesting, and performance optimization.

I am passionate about quantitative finance evolution and algorithmic trading infrastructure, and my goal is to contribute to a team that values continuous learning, systematic innovation, disciplined risk management, and institutional-grade performance. I am ready to bring my learning-driven methodology, technical architecture mastery, proven market performance, and systematic approach to help drive success in your organization. My Dubai-based position provides excellent access to global markets while maintaining the infrastructure scalability necessary for institutional-level deployment and allocator integration.

I am open to multiple roles where my expertise can add maximum value: as a quantitative trader executing institutional strategies, as a trading coach mentoring emerging talent through my proven learning methodology, as a strategy analyst developing and optimizing trading frameworks, or as a strategic partner collaborating on infrastructure development and performance enhancement. My six-year evolution from binary fundamentals to institutional-grade architecture uniquely positions me to contribute across these diverse capacities, whether through direct trading execution, knowledge transfer, analytical insights, or strategic collaboration.

I would welcome the opportunity to discuss how my Trader's Hub infrastructure, verified performance track record, systematic learning approach, and institutional positioning can contribute to your team's success in any of these capacities. Thank you for considering my application, and I look forward to hearing from you soon to explore how we can collaborate and create value together.

Sincerely,
Dickman Pious
Quantitative Portfolio Strategist and Algorithmic Trader and Treasury Operational Manager
Emirates Tower, Dubai, United Arab Emirates