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Quant Developer
4 weeks ago
Job Description.
- Work in the EY FSRM service line focusing on implementations of Model Development and Risk Analytics
- The candidate will primarily be working on the implementation of Analytical Solutions for Risk/Pricing Models and Analytics using programming languages like Java/Python.
- Bachelor's/Master's degree in Mathematics/Computer Science/Financial Engineering/Quantitative Finance/other quantitative disciplines -.
- Hands-on programming experience in programming languages (C++, Python) including Object oriented programming.
- Relevant experience of 7-10 years in a Quant developer profile e.g.
- Front Office Support, Risk model implementation etc.
- Strong quantitative background.
- Experience in model development, quant trading or validation a plus - Knowledge of Risk methodologies, traded financial products.
- Experience in Python/Java.
- Strong Programming skills (OOPs, Software development, Continuous Integration, Design Patterns, algorithms, optimization techniques, parallel processing Develop and maintain quantitative models, algorithms, and trading strategies using C++ and Python. Collaborate with quantitative researchers and traders to design, implement, and backtest new strategies.
- Optimize existing trading algorithms and infrastructure for performance and scalability. Implement risk management tools and protocols to monitor and mitigate trading risks.
- Design and develop software components and libraries for quantitative analysis and research. Utilize continuous integration techniques to automate software testing and deployment processes.
- Apply object-oriented design principles and design patterns to develop scalable and maintainable code. Conduct code reviews and provide constructive feedback to team members.
- Stay updated on industry trends and best practices in quantitative finance and algorithmic trading. Support production trading systems and troubleshoot technical issues as Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, or related field.
- 7-10 years of experience in quantitative development or a similar role within the financial industry.
- Proficiency in C++ and Python programming languages.
- Experience in Python or Java development for quantitative analysis and modeling.
- Strong understanding of object-oriented programming principles and design patterns.
- Knowledge of software development methodologies and best practices.
- Familiarity with continuous integration tools and techniques.
- Solid understanding of algorithms, optimization techniques, and parallel processing.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
Salary : 16 - 28 LPA
(ref:hirist.tech)-
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