Job description

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 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 multi disciplinary, 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 . Role Responsibilities • Python engineering (core responsibility) • 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 • Multi disciplinary 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 The Team The QIS Platform team builds and operates the strategic platform supporting Quantitative Investment Solutions across Global Markets. It enables scalable production, monitoring, governance, and innovation for systematic strategies used by Trading and Structuring globally. You’ll be based in our New York office. Desired Skills & Experience • At least a Bachelor's Degree is required • trong 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 • You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use. Salary and Other Compensation: The annual salary for this position is between $70,000 - $86,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • 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 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. 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 CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: 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 @cognizant.

Requirements

Must-haves

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?
Role Responsibilities
Python engineering (core responsibility) • 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
Multi disciplinary 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
Desired Skills & Experience
At least a Bachelor's Degree is required
trong 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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmachine learningml

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave