Verition Group LLC

FinTech

DataOperationsManager

$170–200k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Data Operations Manager at Verition Group LLC. Skills: Data operations, AI enablement, Cloud platform management. Support Market Data platform in the cloud. Prepare datasets to enable AI”

Industry & Context.

FinTech
Problems you'll solve

Problem-solving; Analytical mindset

What They're Looking For.

Must Have

10+ years of experience in a similar role, Financial services experience necessary, Buy side experience, Subject matter expertise in market data, Subject matter expertise in security master data, Subject matter expertise in corporate actions data, Experience building and leading data operations teams, Experience enabling data for AI use cases, Experience using AI to monitor and manage data quality, AWS cloud experience, Development and deployment process ownership experience, Experience managing large volumes of unstructured data, Python expertise, SQL expertise, System & Pipeline architecture understanding, Problem-solving and analytical mindset, Excellent communication skills, Ability to work in a fast-paced environment, Hiring and Management experience, Experience with CI/CD pipelines, Experience with DevOps practices

Nice to Have

Multi Strat/Hedge Fund Preferred, BI/Power BI integration experience a plus

What You'll Do.

Support Market Data platform in the cloud

Prepare datasets to enable AI

Cover Data Warehouse operations

Manage platform client requests

Implement data quality processes

Update users on changes

Coordinate with platform team engineers

Support on technical issues

Support on technical delays

Staff team with resources

Understand data usage

Manage operations for Data Platform in cloud

Communicate proactively

Operationalize intake process

Coordinate with vendor sourcing

Ensure approval process

Enable users to access data

Understand IAM processes

Understand AD group usage

Understand AWS access points

How You'll Work.

Team & Collaboration

Head of Data Technology; Technology teams; Portfolio teams; Business teams; Platform team engineers; Stakeholders across technology; Stakeholders across investment; Stakeholders across operations

Communication Scope

Executive presentations; Technical documentation

Process & Methodology

CI/CD pipelines, DevOps practices

Full Job Description

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. We are seeking an experienced Data Operations Lead/Manager to join our technology team who will be responsible for supporting data-driven decision-making as well as the datasets that will enable AI across our firm. The role will focus on building/leading a team to support our Market Data platform in the cloud, while preparing the datasets to enable AI for the business, and later expand into covering our new Data Warehouse once live. This role will cover platform client request management, an intake process build out, pipeline monitoring, data quality processes, SLA assignment/monitoring, updates to users on changes or new data, require coordination with the platform team engineers and support on technical issues/delays. The role requires prior experience in this function and an ability to work independently on projects and initiatives. Responsibilities: Hire & Manage Team: Work with Head of Data Technology to staff team with proper resources Client Management: Ability to speak with Technology, Portfolio and Business teams to understand data usage, new requests, issues and manage properly Cloud Data Platform Experience: Experience managing operations for Data Platform in cloud required (AWS Preferred – familiarity with pipeline components and technologies needed) Data Quality/Pipeline Monitoring: Prior experience with data quality processing, pipeline monitoring required to capture delays, data issues/gaps, proactive communication, align with Support Intake/Demand Management: Help build an intake process and manage/operationalize the process Coordination with Sourcing: Experience coordinating with a vendor sourcing function needed

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