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Overview

This role is offered by a partner company seeking an experienced Quantitative Researcher focused on options, located in Ireland. The position involves crafting advanced pricing models, researching strategies, and delivering quantitative solutions for complex trading systems. The candidate will operate at the crossroads of mathematics, financial engineering, and technology, playing a vital role in designing and enhancing options products and trading strategies. This is a chance to address intricate quantitative problems such as volatility modeling, risk evaluations, and strategy execution, working closely with engineering and trading divisions to transition research concepts into scalable production tools in a dynamic global marketplace.

Key Responsibilities

Create and deploy quantitative research techniques for options pricing, managing risk, and trading strategies throughout all stages from concept to live deployment.
Develop and refine models for options valuation, including volatility surface analysis, Greeks computations, and sophisticated frameworks for complex derivatives.
Investigate implied volatility patterns, volatility arbitrage prospects, and the microstructure of options markets across both traditional and digital assets.
Collaborate intimately with software engineers and traders to integrate quantitative models and strategies efficiently into trading systems.
Support the creation of innovative financial products through modeling, optimizing parameters, assessing risk, and fine-tuning strategies.
Analyze trading data, market behavior, and quantitative indicators to discover ways to enhance pricing precision and trading outcomes.
Continuously seek new methodologies, tools, and research techniques to advance quantitative abilities.

Required Qualifications & Skills

Minimum four years of experience serving as Quantitative Researcher, Analyst, or related capacity with proven expertise in options pricing research and financial modeling.
Master's degree or above in Mathematics, Statistics, Financial Engineering, Quantitative Finance, or a related quantitative field.
Thorough understanding of options pricing approaches including Black-Scholes, binomial trees, Monte Carlo methods, and stochastic volatility frameworks such as Heston or SABR.
Proficient in programming quantitative models using Python or equivalent analytical platforms.
Excellent analytical and problem-solving prowess to address challenging mathematical problems in fast-paced settings.
Previous exposure to financial markets, hedge funds, investment firms, trading houses, or brokerages is highly advantageous.
Familiarity with handling trading data, forecasting prices, machine learning applications, or decentralized exchange trading is a plus.
Strong English communication skills to work effectively with international teams and stakeholders.
Robust academic foundation combined with curiosity and drive for ongoing learning and innovation.

Benefits and Work Environment

Fully remote working setup with flexible arrangements subject to business needs.
Chance to influence the future landscapes of global digital asset and financial technology markets.
Collaborate with skilled quantitative researchers, engineers, and finance professionals globally.
Engage in impactful projects with responsibilities on complex quantitative challenges and innovative trading solutions.
Opportunities for continuous education and career growth in a fast-changing industry.
Competitive compensation and comprehensive benefits package.
Supportive, achievement-oriented culture encouraging autonomy and meaningful contributions.

Additional Information

This position is managed by our partner company, which handles all application assessments and further recruitment procedures. The recruitment process is supported by an AI-driven matching system ensuring unbiased and prompt candidate screening. Final interview and hiring decisions rest solely with the partner company's internal hiring team.

Privacy Disclaimer: By applying, candidates consent to their personal data being processed to evaluate candidacy and shared with the hiring employer, abiding by GDPR and other relevant data protection regulations. AI tools may assist in reviewing application materials, though ultimate hiring decisions are human-made.

Quantitative Researcher - Options Specialist