Verition Fund Management LLC
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 &
We are seeking a Senior Data Engineer with advanced data architecture experience in cloud data platforms to join our technology team. The role will focus on two main functions. We want a senior data engineer to work on pipeline builds to augment the existing team, but also be a lead architect within the team to help us evaluate, select, and enhance our capabilities and components within our data platform. The team needs a senior person who has experience and knowledge of various architectural patterns for storage, event processing, scheduling, distributed computing, user interfaces, cost impacts, scalability, large data set processing, data extraction, data abstraction, APIs, etc. We also need the engineer to be able to build pipelines in our cloud platform for structured data, market data, streaming data, alternative data that may be acquired from APIs, files, scrapes, websites, internal databases.
Responsibilities:
Refine architecture strategy for Platform
Work closely with team leadership (manager and leads) to understand current state, future state capabilities needed, make recommendations to improve processing, costs, performance, add additional capabilities like abstraction, apis etc Promote Data Engineering best practices and mentor junior team members
Conduct architectural reviews and establish best practices for data engineering, mentor and guide data engineers and contribute to hiring and technical development of the global team. Building Data pipelines
in AWS platform utilizing existing tools like Cron, Glue, Eventbridge, Python based ETL, AWS Redshift Working closely with data vendors
such as Bloomberg, Refinitiv, Exchanges etc. Expand Platform Capabilities
from basic daily/historical processing to products, private data storage Coordinate with Internal teams
on delivery, access, requests, support Required Skills and Qualifications: Bachelor’s degree in computer science, Engineering, Mathematics or related field 10+ experience in a similar role Prior buy side experience is strongly preferred (Multi-Strat/Hedge Funds) Capital markets experience is necessary. (Good working knowledge of reference data across asset classes and experience with trading systems) Deep AWS cloud experience with commons services (S3, lambda, cron, Event Bridge etc.) Proven experience in designing and deploying data infrastructure at scale preferably in a financial services firm or hedge fund. Experience designing and deploying disaster recovery and high availability strategies in cloud environments. Strong hands-on skills with NoSQL and SQL databases, programming in Python and data pipeline and analytics tools Familiarity with time series data and common market data sources (Bloomberg, Refinitiv etc.) Familiar with modern Dev Ops practices and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Excellent communication skills to work with stakeholders across technology, investment, and operations teams. Ability to work in a fast-paced environment with tight deadlines. Salary Range $150,000 - $200,000 USD Create a Job Alert Interested in building your career at Verition Group LLC? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone Country Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf
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Work closely with team leadership (manager and leads) to understand current state, future state capabilities needed, make recommendations to improve processing, costs, performance, add additional capabilities like abstraction, apis etc Promote Data Engineering best practices and mentor junior team members
Conduct architectural reviews and establish best practices for data engineering, mentor and guide data engineers and contribute to hiring and technical development of the global team. Building Data pipelines
in AWS platform utilizing existing tools like Cron, Glue, Eventbridge, Python based ETL, AWS Redshift Working closely with data vendors
such as Bloomberg, Refinitiv, Exchanges etc. Expand Platform Capabilities
from basic daily/historical processing to products, private data storage Coordinate with Internal teams
on delivery, access, requests, support Required Skills and Qualifications: Bachelor’s degree in computer science, Engineering, Mathematics or related field 10+ experience in a similar role Prior buy side experience is strongly preferred (Multi-Strat/Hedge Funds) Capital markets experience is necessary. (Good working knowledge of reference data across asset classes and experience with trading systems) Deep AWS cloud experience with commons services (S3, lambda, cron, Event Bridge etc.) Proven experience in designing and deploying data infrastructure at scale preferably in a financial services firm or hedge fund. Experience designing and deploying disaster recovery and high availability strategies in cloud environments. Strong hands-on skills with NoSQL and SQL databases, programming in Python and data pipeline and analytics tools Familiarity with time series data and common market data sources (Bloomberg, Refinitiv etc.) Familiar with modern Dev Ops practices and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Excellent communication skills to work with stakeholders across technology, investment, and operations teams. Ability to work in a fast-paced environment with tight deadlines. Salary Range $150,000 - $200,000 USD Create a Job Alert Interested in building your career at Verition Group LLC? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone Country Phone Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf
#J-18808-Ljbffr