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Algorithm Research Jobs in New York, NY (NOW HIRING)

Research Scientist

New York, NY ยท On-site

$200K - $300K/yr

About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific ...

Research Intern

New York, NY ยท On-site

$48K - $62K/mo

Description RESEARCH INTERNSHIP Department of Computer Science and Engineering New York University ... They should have a strong background in AI/ML, biometric algorithm design and evaluation, and ...

Research Intern

Manhattan, NY ยท On-site

$48K - $62K/mo

Description RESEARCH INTERNSHIP Department of Computer Science and Engineering New York University ... They should have a strong background in AI/ML, biometric algorithm design and evaluation, and ...

You will develop Basis core technology modules (fundamental algorithmic components like ChiRho, Effectful, Weighted), contribute research-driven capabilities to commercial platform offerings, and ...

Showing results 21-40

Algorithm Research information

What is algorithm research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the key skills and qualifications needed to thrive as an algorithm researcher?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

What are the typical challenges faced by professionals in algorithm research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

What job categories do people searching Algorithm Research jobs in New York, NY look for?

The top searched job categories for Algorithm Research jobs in New York, NY are:

Director of Sales - Algorithmic & Electronic Trading

Bestex Research

Stamford, CT โ€ข On-site

Full-time

Re-posted 20 days ago


Job description

About BestEx Research

BestEx Research is an independent execution consulting and analytics firm specializing in algorithmic execution and transaction cost analysis (TCA). We work with sophisticated institutional clients across futures and equities, to help them improve execution quality and trading outcomes.

As we continue to expand our presence in futures and electronic markets, we are seeking a sales professional to help drive new client acquisition and deepen our footprint with buy side clients.

Role Overview

The Director of Sales will be responsible for originating and developing new client relationships, with a primary focus on futures - exchange-traded derivatives. The ideal candidate has a demonstrated track record of selling to institutional clients, navigating complex sales processes, and engaging with senior decision-makers. The ideal candidate should possess a strong understanding of algorithmic execution, electronic trading workflows, and market structure.

While existing industry relationships are not required, an established network of institutional contacts and a history of successfully monetizing those relationships is considered a strong advantage.

This role offers significant autonomy and visibility, and is well-suited for a commercially driven professional who can manage the full sales lifecycle.

Key Responsibilities

  • Originate, develop, and close new client relationships across futures, exchange-traded derivatives, and electronic trading desks
  • Build and manage a robust sales pipeline, from lead generation through contract execution
  • Leverage existing industry relationships while proactively identifying new opportunities
  • Partner with research and product teams to articulate BestEx’s value proposition around execution quality, algorithmic performance, and market structure

Requirements

  • 7+ years of experience in institutional sales within futures, exchange-traded derivatives, or electronic trading
  • Proven background in algorithmic execution sales, electronic sales & trading, or related capital markets roles
  • Existing network of buy-side, sell-side, or proprietary trading firm relationships strongly preferred
  • Demonstrated ability to independently manage complex sales cycles and close new business
  • Strong communication skills with the ability to engage credibly with senior traders, heads of trading, and execution teams

Benefits

  • Opportunity to play a key role in scaling a respected, independent execution research firm
  • High degree of autonomy and visibility within the organization
  • Competitive compensation structure aligned with performance
  • Collaborative, intellectually driven environment focused on data, research, and execution excellence