ZipRecruiter

Log In

1

Research And Development Architect Jobs (NOW HIRING)

The Pennsylvania State University

... architecture definition, design trade studies, integration, verification, validation, risk ... Support development of advanced prototypes and transition technologies from research concepts into ...

previous pagenext page

Showing results 21-40

All JobsScience JobsResearch JobsResearch And Development Architect Jobs

Research And Development Architect information

See salary details

$13

$26

$39

How much do research and development architect jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for research and development architect in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $30.77 per hour, depending on experience, location, and employer.

What is the difference between Research And Development Architect vs Research And Development Engineer?

AspectResearch And Development ArchitectResearch And Development Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; often requires experience in system designBachelor's or Master's in Engineering, Computer Science, or related field; focus on technical skills
Work EnvironmentDesigning high-level R&D strategies, overseeing project architecture, collaborating with cross-functional teamsImplementing prototypes, conducting experiments, developing new products or processes
Industry UsageUsed in tech, manufacturing, and engineering firms for strategic R&D planningCommonly found in labs, product development teams, and innovation departments

The Research And Development Architect focuses on designing and overseeing the overall R&D strategy and system architecture, while the Research And Development Engineer is more involved in hands-on development, testing, and implementation of new products or processes. Both roles require technical expertise, but the architect emphasizes planning and design, whereas the engineer emphasizes execution and experimentation.

What cities are hiring for Research And Development Architect jobs?

Cities with the most Research And Development Architect job openings:

What states have the most Research And Development Architect jobs?

States with the most job openings for Research And Development Architect jobs include:

Research And Development Architect jobs near you

Senior Director, Index Research & Development

Intercontinental Exchange Holdings, Inc.

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Key responsibilities

  • Lead the design, development, and implementation of next-generation index methodologies.

  • Collaborate with teams and stakeholders to translate research insights into index products and ensure methodologies are validated and maintained.

  • Present research findings and recommendations to executive leadership and external stakeholders.

Job description

Overview
Job Purpose
We are seeking an exceptional Senior Director of Index Research & Development to lead our Index Research & Development team in designing, developing, and implementing next-generation index methodologies. This strategic leadership role will drive innovation in index construction, backtesting new ideas and approaches to provide solutions to evolving investor needs. While the core role is the development of new indices and approaches to index construction, a critical part of the role is to also deliver thought leadership to our clients and put ICE Data Indices at the forefront of innovation in index design. This Index R&D role is not confined to any specific asset segment boundaries. Suitable candidates are expected to be deeply knowledgeable of fixed income securities and analytics, but also familiar with equities and commodity futures, swaps, etc., and all associated quantitative methods for analyzing risk and return of these market segments.
Responsibilities
  • Strategic Leadership
    • Define and execute the strategic vision for Index R&D initiatives aligned with business objectives
    • Lead, mentor, and develop a team of quantitative researchers, data scientists, and index specialists
    • Collaborate with senior leadership to identify market opportunities and drive product innovation
    • Establish research priorities and allocate resources across multiple concurrent projects
    • Present research findings and recommendations to executive leadership and external stakeholders
  • Index Methodology & Research
    • Design and develop sophisticated index methodologies incorporating advanced quantitative techniques
    • Conduct rigorous research on factor models, portfolio construction, and risk-adjusted performance optimization
    • Evaluate and implement cutting-edge approaches to index weighting, rebalancing, and constituent selection
    • Perform quantitative analysis of market microstructure, liquidity dynamics, and transaction cost modeling
    • Develop proprietary frameworks for ESG integration, thematic indices, and alternative beta strategies
  • Technical Innovation
    • Architect scalable quantitative frameworks and computational infrastructure for index calculation and backtesting
    • Implement advanced numerical methods including optimization algorithms, Monte Carlo simulation, and machine learning techniques
    • Develop automated data pipelines and analytical tools to enhance research productivity
    • Ensure robust validation, testing, and quality control of all methodologies and systems
    • Stay current with academic research and industry best practices in quantitative finance
  • Cross-Functional Collaboration
    • Partner with Product Management to translate research insights into commercially viable index products
    • Collaborate with Index Operations to ensure seamless implementation and maintenance of methodologies
    • Work with Sales and Client Services teams to provide technical expertise and thought leadership
    • Engage with external clients, consultants, and industry partners on complex quantitative challenges
    • Contribute to white papers, publications, and conference presentations to enhance firm visibility

Knowledge and Experience
  • Advanced degree (Ph.D. or Master's) in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Physics, or related quantitative field
  • 10+ years of progressive experience in quantitative research within indices, asset management, investment banking, or financial markets
  • Proven track record of developing and implementing quantitative methodologies in production environments
  • 5+ years of leadership experience managing quantitative research or analytics teams
  • Programming: Expert-level proficiency in Python for quantitative analysis, statistical modeling, and automation
  • Database: Advanced SQL skills for complex data extraction, transformation, and analysis
  • Numerical Methods: Deep expertise in advanced numerical techniques including:
    • Optimization algorithms (linear, quadratic, convex, non-convex)
    • Stochastic calculus and time series analysis
    • Numerical linear algebra and matrix computations
    • Monte Carlo methods and statistical simulation
    • Computational efficiency and algorithm design
  • Strong understanding of index construction methodologies, factor models, and portfolio theory
  • Experience with distributed computing frameworks and large-scale data processing
  • Comprehensive knowledge of global equity, fixed income, commodity, and/or multi-asset indices
  • Deep understanding of market microstructure, trading mechanisms, and regulatory frameworks
  • Expertise in risk modeling, performance attribution, and quantitative portfolio analytics
  • Familiarity with benchmark governance, index licensing, and industry standards (IOSCO principles)

Preferred Knowledge and Experience
  • Machine learning and predictive modeling (supervised and unsupervised learning)
  • Feature engineering and dimensionality reduction techniques
  • Natural language processing for alternative data analysis
  • Deep learning frameworks (TensorFlow, PyTorch) for financial applications
  • Experience with R, MATLAB, C++, or Julia
  • Cloud computing platforms (AWS, Azure, Google Cloud)
  • Big data technologies (Spark, Hadoop, Databricks)
  • Version control (Git) and DevOps practices
  • Published research in peer-reviewed journals or industry publications
  • CFA, FRM, or other relevant professional certifications
  • Experience with ESG data, alternative data sources, and climate risk analytics
  • Track record of patent applications or proprietary methodology development

New York Base Salary Range
The expected base salary for this role, if located in New York, is between $242,00 - 320,00 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.
#LI-MA2
-
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Apply