Senior Quantitative Analyst

Amidel is an Information Technology and Business Consulting Company that provides highly specialized solutions to large and small enterprises in both the private and public sectors. We are seeking an experienced and driven Senior Quantitative Analyst to join our team, specializing in quantitative solutions for investment banks and other financial clients. This role is ideal for a seasoned professional with a strong educational background in a quantitative field and at least 5 years of experience in a similar role within the banking sector . This position offers a unique opportunity to work with leading financial institutions, driving the definition, development, and implementation of complex quantitative models, risk assessment strategies, and financial solutions. Job family: Data/Computer Science/Finance Minimum Experience: 5+ years of experience as a Quantitative Analyst, preferably within the banking or financial services industry. Education Requirements: Master's degree in Financial Mathematics, Quantitative Finance, or a related discipline. Contract Type: Permanent or Contract RESPONSIBILITIES Responsibilities differ across client engagements but may include: Collaborate with client partners to define detailed business requirements for quantitative models and solutions. Assist in developing and validating pricing models for complex financial instruments, ensuring accuracy and compliance with industry standards. Contribute to the enhancement and optimization of existing algorithms, tools, and analytical frameworks. Participate in research initiatives to identify innovative quantitative methodologies that enhance trading performance and risk management strategies. Develop and maintain software tools for quantitative analysis, model implementation, and data visualization. Engage with cross-functional teams to provide insights on trading portfolios and risk exposure. QUALIFICATIONS AND COMPETENCIES Strong understanding of financial markets, investment products, and trading concepts. Proficiency in programming languages C# and Python is an added advantage. Solid mathematical foundation including calculus, linear algebra, probability theory, and statistics. Knowledge of derivative pricing models, stochastic calculus, and risk management concepts. Exceptional problem-solving skills, meticulous attention to detail, and a keen analytical mindset. Effective communication skills, both written and verbal, enabling clear communication of complex ideas to non-technical stakeholders. Experience with version control systems (e.g., Git) and familiarity with agile development methodologies is a positive.