Associate Platform Engineer

Verition; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Discretionary bonus

Comprehensive benefits package

Job summary

Verition is seeking an Engineer for Platform Services in New York. You will work on live internal web apps, write queries, and help build AI-assisted tooling. The role blends front-end and back-end work with data engineering tasks in a fast-paced hedge fund environment.

You will collaborate with experienced engineers, improve deployment practices, and contribute to testing, monitoring, and documentation. A background in finance and cloud tools is preferred.

Qualifications

• 1+ year of experience in a similar role.
• Strong Python skills and comfortable working in a web application codebase (HTML/CSS/JS).
• Strong proficiency in Python—joins, aggregations, window functions, and query plans.
• Ability to translate vague requests into deployed results without micromanagement.
• Ability to explain technical constraints clearly and follow up without being chased.
• Exposure to financial services is preferred—trade lifecycle, securities data, or fund structures.

Responsibilities

• Build and maintain features across internal web applications used across the business.
• Deliver frequent small enhancements: new fields, layout/usability improvements, filtering, export and upload handling.
• Improve query and page performance on tools used daily.
• Write and tune SQL to answer business questions and diagnose data issues.
• Investigate and resolve data-quality problems and mismatched identifiers.
• Support data flows between internal systems and build derived datasets from source systems.

Skills

Python programming

Web frontend (HTML/CSS/JS)

LLM tooling

Communication

Problem solving

Tools

Docker

Linux

Cloud infrastructure

LLM tooling

Job description

Firm Overview

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.

Firm Overview

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.

Role Overview

Platform Services builds and supports the business tools the firm uses day to day such as web applications, reporting and workflow tools, the data that sits behind them, and an emerging layer of AI‑assisted tooling. It is a small team working close to its users, and it owns what it builds end to end. You will work alongside experienced engineers on live, in‑use applications: building features, improving the data underneath them, supporting the people who rely on them, and strengthening the development and release practices around them.

The role is deliberately broad. In each week you might write a query, ship a front‑end change, debug a deployment, and talk a colleague through a problem.

Responsibilities

• Build and maintain features across a suite of internal web applications used across the business.


• Deliver the steady stream of small, high‑visibility requests: new fields, layout and usability improvements, filtering, export and upload handling.


• Improve query and page performance on tools that are used daily.


• Write and tune SQL to answer business questions and diagnose issues in operational and reference data.


• Investigate and resolve data‑quality problems — malformed values, mismatched identifiers, records failing validation.


• Support the flows that move data between internal systems, and help build the derived or historical datasets that source systems do not retain themselves.


• Contribute to the integration layer that connects internal systems to LLM‑based tooling — building and testing tool interfaces, improving error handling, and extending logging and administration.


• Support internal AI assistant features through functional testing, access‑control testing, and triage of reported behavior.


• Package and document tooling so non‑technical colleagues can use it without hands‑on help.


• Act as first‑line support for internal users — access requests, permissions, and environment or configuration problems.


• Handle account and role provisioning and the associated directory group changes.


• Own routine operational tasks: deployments, scheduled restarts, cache management, and monitoring of automated jobs.


• Keep runbooks, release notes, and status updates current.


• Help mature the codebase — source control conventions, branching, code review, and continuous integration.


• Stand up development environments so changes can be tested properly before release.


• Add automated testing, starting with the paths that break most often.

Qualifications

• 1+ year of experience in a similar position.


• Strong Python skills and comfortable working in a web application codebase (HTML/CSS/JavaScript).


• Strong proficiency in Python — joins, aggregation, window functions, reading an execution plan.


• Ability to take a vague request to a working, deployed result without being managed through every step.


• Ability to explain a technical constraint in plain language, and follow up without being chased.


• Exposure to financial services is preferred — trade lifecycle, securities reference data, or fund and portfolio structures.


• Experience with Docker, Linux, and cloud infrastructure.


• Practical experience with LLM tooling — agent frameworks, tool‑calling integrations, or building against an LLM API.


• Familiarity with issue tracking and documentation tooling.


• Excellent written and verbal communication skills.


• High level of intellectual curiosity, strong work ethic, and keen attention to detail.


• Ability to work effectively in a team‑oriented, fast‑paced, and dynamic environment.

The annual base salary range for this position is $100,000 to $150,000 (USD). In addition to base salary, this position is eligible for a discretionary performance bonus and a comprehensive benefits package. Actual compensation offered to the successful candidate will be determined based on a variety of factors such as geographic location, work experience, qualifications, and skill level.

Salary Range: $100,000 USD - $150,000 USD