Quantitative Investment Solutions (QIS) Platform Analyst
Primary stack
Nice to have's
Job description
About the Position
Are you interested in a role that offers high visibility, significant autonomy, and the opportunity to apply AI in real production environments within a front office adjacent setting?
As a Quantitative Investment Solutions (QIS) Platform Analyst, you will operate at the intersection of Python engineering, data, AI and front office processes, with direct ownership of platform analytics, intelligent monitoring and automation capabilities. The role is deliberately multidisciplinary, requiring the ability to handle a broad spectrum of problems spanning technology, data, business logic and controls. This role offers high visibility, significant autonomy, and the opportunity to apply AI in real production environments within a front office adjacent setting. Please note that this role is fully onsite in New York City.
Responsibilities
- Python Engineering
- Design, develop and maintain production quality Python code supporting QIS platform analytics, controls, monitoring and workflow automation
- Build scalable, resilient data pipelines and validation frameworks used in live environments
- Apply strong software engineering discipline: testing, code review, documentation and maintainability
- AI & Machine Learning
- Contribute directly to AI / ML initiatives across the QIS platform, including intelligent monitoring, anomaly detection, signal identification, and automation of control processes
- Work with both structured and unstructured datasets to enable AI driven platform capabilities
- Partner with quants, data scientists and engineers to industrialise AI concepts from prototype into production
- Platform Monitoring & Resilience
- Design and enhance automated checks, dashboards and observability frameworks
- Lead investigations into data or production anomalies and drive resolution across teams
- Continuously improve platform resilience, transparency and scalability
- Multidisciplinary Problem Solving
- Handle a plethora of disciplines simultaneously: coding, data analysis, platform design, process optimisation and stakeholder coordination
- Break down complex, ambiguous problems spanning systems, data and business logic
- Drive durable, structural improvements rather than short term fixes
- Change & Platform Evolution
- Support onboarding of new strategies, features, datasets and analytical capabilities
- Contribute to re-platforming and modernisation initiatives
- Identify opportunities to improve automation, developer tooling and operational efficiency
- Stakeholder Engagement
- Work closely with Trading, Structuring, Model Quants and Technology teams
- Translate business problems into robust technical solutions and communicate outcomes clearly to senior stakeholders
Requirements
- At least a Bachelor's Degree is required
- Strong Python skills with experience delivering production-grade solutions
- Hands-on experience with AI or machine learning in production or advanced prototyping
- Experience with modern data platforms, cloud, or distributed systems
- Strong Data Analysis and problem-solving skills in complex, fast-paced environments
- Ability to work across technical and business domains with an end-to-end ownership mindset
- Experience building monitoring, observability, or automation frameworks
- Familiarity with systematic strategies, quantitative finance, or front office platforms
- Proven track record of moving solutions from prototype to production or mentoring others
- Curiosity to explore how AI can improve workflows with sound judgment
We Offer
- Competitive salary between $70,000 - $86,000 depending on experience and other qualifications
- Cognizant’s discretionary annual incentive program, based on performance
- Benefits including Medical/Dental/Vision/Life Insurance, Paid holidays plus Paid Time Off, 401(k) plan and contributions, Long-term/Short-term Disability, Paid Parental Leave, Employee Stock Purchase Plan
About the Company
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or follow us on Twitter.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Applicants for US-based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US-based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
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