Quantitative Investment Solutions Platform Analyst

Cognizant

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$70,000–$86,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $78k
$55k $206k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $123,539–$190,512 — the blue band above. At the midpoint, this role pays about $78k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 32 open roles on FindRole.

Listed pay typically runs $119,000–$150,000 across 25 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Quantitative Investment Solutions Platform Analyst

The Quantitative Investment Solutions (QIS) Platform Analyst joins the QIS Platform team to support systematic strategies used by Trading and Structuring globally. This role involves designing, developing, and maintaining production-quality Python code to support platform analytics, controls, monitoring, and workflow automation. Key responsibilities include building scalable data pipelines, validation frameworks, and observability dashboards while industrializing AI and machine learning concepts from prototypes into production environments. The analyst will handle structured and unstructured datasets to enable intelligent monitoring, anomaly detection, and signal identification. Required skills include strong Python engineering, experience with AI or machine learning, and knowledge of modern data platforms or distributed systems. The position requires solving complex problems spanning systems, data, and business logic within a quantitative finance and front office platform context.

What you'll do

  • Design, develop, and maintain production-quality Python code for platform analytics, controls, and workflow automation.
  • Build scalable, resilient data pipelines and validation frameworks for use in live production environments.
  • Implement AI and machine learning models for intelligent monitoring, anomaly detection, and signal identification.
  • Industrialize AI concepts from prototype to production by working with quants and data scientists.
  • Design and enhance automated checks, dashboards, and observability frameworks to improve platform resilience.
  • Lead investigations into data or production anomalies and drive resolutions across technical teams.
  • Translate business problems from Trading and Structuring teams into robust technical solutions.
  • Support the onboarding of new strategies, features, and datasets into the existing platform.

What we're looking for

  • Must have at least a Bachelor's Degree.
  • 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.
  • Experience building monitoring, observability, or automation frameworks.
  • Familiarity with systematic strategies, quantitative finance, or front office platforms (preferred).
  • Proven track record of moving solutions from prototype to production or mentoring others (preferred).

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