Infosys is seeking Quantitative Business Analyst with a strong background in Python and Mathematics. In this role, you will play a key part in developing and implementing quantitative models, conducting data analysis and develop, test, and maintain high-performance applications using the Python. The ideal candidate should have a deep understanding of quantitative analysis, financial modeling, and proficiency in Python programming and Machine learning. Strong knowledge of APIs, integration, data extraction, preprocessing will be an added advantage. You will be involved in requirements gathering, development, code deployment, enhancement and fixes and help with testing and documentation activities.
Location for this position is Irving, TX or Tampa, FL or Jersey City, NJ. Candidate must be located within commuting distance or be willing to relocate to the area. This position may require travel to project locations.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 4 years of experience with Information Technology.
• Experience in Python development, Mathematical modeling and software development .
• Knowledge of statistical models for risk assessment, pricing, and optimization.

Preferred Qualifications:

• Atleast 3 to 5 years of experience in Python and its frameworks (Django, Flask, etc).
• Knowledge of statistical models for risk assessment, pricing, and optimization.
• Good knowledge of database systems, both SQL and NoSQL.
• Knowledge of data pipelines for efficient data processing.
• Knowledge of building RESTful APIs.
• Experience in using ORM libraries like SQLAlchemy database operations.
• Ability to perform testing and validation of quantitative models to ensure accuracy and reliability.
• Passion for coding and problem-solving
• Proven ability to work collaboratively in a team-oriented environment
• Excellent communication skills to convey complex ideas clearly.
• Experience with banking industry will be and added advantage.
• Good problem solving skills

Estimated annual compensation range for candidate based on Jersey City, NJ will be
Min - 82493 to Max -107241

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits :-

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off.

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Please refer the Job description for details