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Index Engines Jobs (NOW HIRING)

MerQube Inc

Research Analyst

New York, NY

$130K - $180K/yr

Collaborate with the Financial Engineering team to develop MerQube branded financial engines and indexing strategies for major financial institutions. * Interface directly with clients on active ...

MerQube Inc

Research Analyst

New York, NY · On-site

$130K - $180K/yr

Collaborate with the Financial Engineering team to develop MerQube branded financial engines and indexing strategies for major financial institutions. * Interface directly with clients on active ...

Twenty

Staff Data Engineer - TS/SCI Cleared

Arlington, VA

$131K - $158K/yr

You think in systems: data modeling, storage formats, compute engines, and access patterns all have to fit together. * You're opinionated about schema and index design, and you can explain tradeoffs ...

Twenty

Staff Data Engineer

New York, NY

$125K - $150K/yr

You think in systems: data modeling, storage formats, compute engines, and access patterns all have to fit together. * You're opinionated about schema and index design, and you can explain tradeoffs ...

Nastech Global

C/C++ Developer

Austin, TX · On-site

$48.50 - $65.50/hr

... and indexing, coding in C, C++ • Demonstrated experience developing database systems, storage engines, distributed systems • Experience developing software in open source communities • ...

Crunchyroll, LLC

Senior Database Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Act as the strategic subject matter expert for database engine best practices, storage engines, and ... Strong understanding of database internals like types of indexes, schemas, query plans. * Strong ...

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Index Engines information

What are the key skills and qualifications needed to thrive as an Indexing Engineer at Index Engines, and why are they important?

To thrive as an Indexing Engineer at Index Engines, you need a solid background in computer science, data management, and information retrieval, typically supported by a relevant degree. Familiarity with enterprise search platforms, indexing algorithms, backup and storage systems, and certifications in data management tools are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you excel in optimizing data access and collaborating with technical teams. These skills ensure efficient data indexing, reliable search performance, and successful integration with enterprise IT environments.

What are some common challenges faced by professionals working with Index Engines, and how can they be addressed?

Professionals working with Index Engines often encounter challenges related to managing large-scale unstructured data, ensuring data integrity, and optimizing search performance. Staying up-to-date with evolving data compliance requirements and integrating Index Engines solutions with existing IT infrastructure can also be complex. Overcoming these challenges typically involves ongoing training, collaborating closely with IT and security teams, and leveraging Index Engines’ support resources to implement best practices for data management and eDiscovery.

What are Index Engines?

Index Engines is a company that provides data management and information governance solutions, particularly focused on data indexing, search, and compliance for large-scale enterprise environments. Their technology allows organizations to efficiently index, search, manage, and protect unstructured data across various storage platforms. Index Engines is commonly used in data discovery, legal e-discovery, and cyber recovery scenarios to quickly locate and retrieve critical data. The company's solutions help organizations meet compliance requirements, improve data security, and optimize storage management.

What is the difference between Index Engines vs Data Analyst?

AspectIndex EnginesData Analyst
Primary RoleData management, backup, and recovery solutions for enterprise dataAnalyzing data to identify trends, generate reports, and support decision-making
Required SkillsData storage, backup technologies, data security, and system administrationData analysis, SQL, data visualization, and statistical skills
Work EnvironmentIT departments, data centers, enterprise environmentsBusiness units, analytics teams, consulting firms
CertificationsIT certifications like CompTIA, Cisco, or vendor-specific data management certificationsData analysis certifications like Microsoft Excel, Tableau, or SAS

Index Engines focuses on enterprise data management and backup solutions, while Data Analysts primarily analyze data to support business decisions. Both roles require technical skills but serve different functions within organizations.

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Index Engines jobs near you
Infographic showing various Index Engines job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Research Analyst

Research Analyst

MerQube Inc

New York, NY

$130K - $180K/yr

Other

Medical, Dental, Vision, PTO

Posted 15 days ago

Job description

MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.
MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.

Position Overview:

We are looking for our next Research Analyst based in New York. You will be joining a friendly and growing team to disrupt the Index space and participate in the next phase of our growth, playing a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies across exotic structured payoffs and options-based strategies.

Key Responsibilities: 

  • Research, develop, and continuously improve implied volatility and pricing frameworks for options and exotic derivatives. 
  • You will build deep expertise across implied volatility modeling, no-arbitrage surface construction, and derivative pricing, developing intuition that spans a wide range of modeling approaches and payoff structures. As our product suite evolves, so will the scope and sophistication of this work.
  • Translate that modeling expertise into production-ready indices. strategies using Python, with a focus on indices based on synthetic notes of exotic derivatives, listed-options and modelled flex options. 
  • Collaborate with the Financial Engineering team to develop MerQube branded financial engines and indexing strategies for major financial institutions.
  • Interface directly with clients on active research projects 
  • Engage with clients on active research projects and contribute to pitchbook development.
  • Work with financial data sets and applications such as FactSet and LSEG Refinitiv.
  • Contribute to thought leadership through whitepapers, blogs and other content centered around MerQube indices and broader investment finance themes. 

Qualifications:

  • Minimum of 2-3 years of experience in derivatives pricing models and derivatives quantitative research.
  • Master's degree in Finance or a related quantitative field (Mathematics, Data Science, Economics, Computer Science or Engineering), or a Bachelor's degree with equivalent work experience.
  • Proficiency in Python programming, with a focus on financial data management.
  • Strong interest in financial markets and the intersection of software and quantitative finance.
  • Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.

Our Commitment:

At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.

Benefits:

  • Pay that matches your ambition: competitive compensation packages that grow with you
  • Benefits that actually have your back: top-tier medical, dental, vision, and more
  • Work where you work best: flexible arrangements, including hybrid options
  • A team that feels like home: we're building a community-first culture
  • Your wellbeing, prioritized: real investment in health, wellness, and work-life balance
  • Room to grow, fast: hands-on opportunities to learn, level up, and shape your career
  • Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach
  • Time to recharge: generous PTO, holidays, and sick time, because rest fuels great work 

This role is based in New York, NY. In accordance with New York's pay transparency law, the annual base salary range for this position is $130,000-$180,000. Actual compensation within this range will be determined by factors such as experience, technical skills, and qualifications relevant to the role. This range reflects base salary only and does not include bonus, equity, or benefits.

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