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Overnight Quantitative Data Analyst Jobs (NOW HIRING)

Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs ... Hands-on work with real-time analytics engines such as SingleStore/MemSQL * Skill with performance ...

You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... quantitative data that support SOCOM and AFSOC products. Requirements * Minimum of 1-year ...

Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs ... Hands-on work with real-time analytics engines such as SingleStore/MemSQL * Skill with performance ...

The incumbent will validate and analyze agency data to garner public health insight for specific ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ... quantitative data that support SOCOM and AFSOC products. Requirements * Minimum of 1-year ...

This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior ...

Showing results 41-60

Overnight Quantitative Data Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do overnight quantitative data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for overnight quantitative data analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Quantitative Data Analyst vs Quantitative Data Analyst?

AspectOvernight Quantitative Data AnalystQuantitative Data Analyst
Work HoursPrimarily overnight shiftsStandard daytime hours
Work EnvironmentFinancial firms, trading floors, or data centersOffices, research labs, or corporate settings
Required SkillsStrong quantitative skills, familiarity with overnight market activitiesAdvanced statistical and analytical skills
CertificationsOften requires finance or data certificationsSimilar certifications, depending on industry

Overnight Quantitative Data Analysts focus on analyzing data during overnight shifts, often related to global markets or overnight data processing, while Quantitative Data Analysts work during regular hours across various industries. Both roles require strong analytical skills and relevant certifications, but their work hours and environments differ significantly.

More about Overnight Quantitative Data Analyst jobs
What cities are hiring for Overnight Quantitative Data Analyst jobs? Cities with the most Overnight Quantitative Data Analyst job openings:
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
What states have the most Overnight Quantitative Data Analyst jobs? States with the most job openings for Overnight Quantitative Data Analyst jobs include:
What job categories do people searching Overnight Quantitative Data Analyst jobs look for? The top searched job categories for Overnight Quantitative Data Analyst jobs are:
Infographic showing various Overnight Quantitative Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Senior Quantitative Data Engineer

Schonfeld

New York, NY • On-site

$200K - $220K/yr

Full-time

Re-posted 14 days ago


Job description

The Role
As the driving force behind Schonfeld's next-generation data platforms, you will architect, operate, and continually refine underlying platform that empowers research, systematic trading, AI and risk analytics. On top of this robust foundation, you'll build and run high-throughput pipelines spanning ultra-low-latency market-data streams to cost-efficient end-of-day workflows. Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ideas and more resilient systems, so you'll join an inclusive culture where every perspective counts.
What you'll do
  • Architect and operate the platform - 24x7 reliability, IaC-driven deployments, tight cost controls
  • Build and evolve batch and streaming pipelines that ingest billions of market-data events each day
  • Architect high-performance, cost-efficient Lakehouse tables
  • Expose curated datasets via robust, versioned APIs consumed by quants and AI agents
  • Optimize workflows to meet aggressive SLAs, embedding observability and automated data quality checks end-to-end
  • Champion Infrastructure-as-Code with Git-driven CI/CD for every data asset
  • Mentor junior engineers and enforce best-in-class coding standards
  • Continuously refine processes to keep our data ecosystem resilient and lightning-fast

What you'll bringWhat you need:
  • 7+ years building production data platforms with Python and SQL
  • Deep expertise in big-data architecture: partitioning, sharding, columnar formats
  • Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis)
  • Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery
  • Experience delivering data services for AI/ML workloads and feature pipelines
  • Experience building AI/ML feature stores or RAG pipelines
  • Performance-tuning Postgres, SingleStore/MemSQL, or KDB for sub-second queries
  • Proficient in API design, versioning, and OpenAPI/Swagger documentation
  • Comfortable collaborating directly with traders, quants, and data scientists

We'd love if you had:
  • Market-data domain expertise (tick, options, macro)
  • Mastery of Iceberg, Delta Lake, or Hudi on S3
  • Hands-on work with real-time analytics engines such as SingleStore/MemSQL
  • Skill with performance profiling tools
  • Contributions to open-source data tooling or technical talks

Who we areSchonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
Our CultureAt Schonfeld, we'll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
The base pay for this role is expected to be between $200,000 and $220,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
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