Finance Engg

Responsibilities

Develop and implement quantitative models and algorithms to analyze financial data and support decision-making. Build financial forecasting and risk assessment models using statistical techniques and mathematical optimization. Collaborate with finance teams to understand their requirements and translate them into technical solutions.

Conduct thorough testing and validation of financial models to ensure accuracy, reliability, and robustness. Monitor and maintain existing financial models and systems, making enhancements as needed. Stay updated with industry trends and best practices in finance, engineering, and technology.

Requirements

Bachelor’s degree in Finance, Engineering, Computer Science, Mathematics, or a related field (Master’s degree preferred). Proven experience in financial modeling, quantitative analysis, and algorithm development. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of financial markets, instruments, and risk management principles.

Excellent analytical and problem-solving skills with a keen attention to detail. Ability to communicate complex technical concepts effectively to diverse stakeholders.

Preferred Qualifications

Experience with machine learning techniques and big data technologies. Knowledge of financial software tools and databases (Bloomberg, FactSet, etc.). Certification such as CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) a plus.

Benefits

Competitive salary and benefits package. Opportunities for professional growth and career advancement. Collaborative and innovative work environment. Health, dental, and vision insurance. Retirement savings plan (401k) and company match. We are seeking a skilled Finance Engineer to join our dynamic team. As a Finance Engineer, you will blend expertise in finance and engineering to develop innovative financial models, algorithms, and tools that support our financial decision-making processes.

You will work closely with finance professionals, data scientists, and software engineers to design, implement, and maintain sophisticated financial systems and products.