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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
