Senior Quants Business Analyst

Job details

Country

USA

State / Region / Province

New Jersey, New York

Work Location

Jersey City, NJ, New York, NY

Domain

Consulting

Interest Group

Infosys Limited

Skills

Domain|Banking & Financial Services|Customer Risk Assessment & Risk Scoring

Company

ITL USA

Requisition ID

123924BR

Job description

Infosys is seeking a Senior Quants Business Analyst. We are seeking a highly skilled and motivated 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.

Candidate must be located within commuting distance of Jersey, City, NJ or New York, NY or this position will require you to work out of client locations.
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Required Qualifications

• Bachelors 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, Derivatives, Regulatory reporting

Preferred Qualifications

• At least 4 years of experience in Python development.
• At least 4 years of experience in software services industry and experience in Mathematical modeling and software development.
• Knowledge of statistical models for risk assessment, pricing, and optimization.
• At least 4 years of experience in Python and its frameworks (Django, Flask, etc.).
• 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 in the below locations will be
New York, NY : $82493 to $116000

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.
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.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.