The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• Write low latency, high throughput C++ code
• Implement mission critical infrastructure
• Work with key stakeholders to implement new systems
• Adapt existing systems to our next generation platform

• A minimum of 4 years of writing high performance C++
• Modern C++ knowledge (C++17/20, etc)
• C++ template meta programming knowledge
• Possess in-depth knowledge of network programming and distributed computing
• Strong knowledge of Unix/Linux fundamentals
• Strong understanding of data structures and algorithms
• Finance experience is a plus but not essential

#LI-RS1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• 5+ years professional software development experience with a strong focus on backend systems
• Computer Science Fundamentals: Strong knowledge of data structures, algorithms, system design, and software architecture principles
• Database Proficiency: Deep understanding of database systems, query optimization, schema design, and data modeling
• Network Knowledge: Solid grasp of network protocols, API design, and secure communication implementations
• Full-Stack Understanding: Familiarity with modern web architecture, frontend technologies, and how components interact across the stack
• Proven ability to design and build scalable, maintainable systems
• Strong analytical and problem-solving skills
• Experience developing and maintaining production Python applications
• Experience with distributed systems design
• Familiarity with containerization and orchestration tools
• Background in performance optimization and systems scalability
• History of contributions to significant technical projects

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in C++ on Linux platform
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Python development experience is also a plus
• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-MH1

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional individual to be a key contributor to the maturation phase of several essential software systems currently in firmwide use.  These systems are an important part of the research and production trading pipelines. Your mission will be to relentlessly improve their performance, scalability, reliability and survivability while continuing to develop features. Key technologies for the products include:

• Java (and to a lesser extent Python)
• Distributed systems
• Kafka
• PostgreSQL
• BigQuery

What You’ll Bring:

• Computer Science degree (advanced degree or equivalent experience preferred- particularly with storage technologies or distributed systems)
• Extensive experience as a key contributor in the development of complex software systems (leading financial services firm experience preferred- particularly involved in high performance systems)
• Deep expertise in modern Java and distributed systems, with hands-on experience building scalable, resilient, mission-critical services
• Strong experience with data-intensive architectures using technologies such as Kafka, PostgreSQL and/or BigQuery, with a track record of performance optimization and reliability in production

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

Position Overview:

We are seeking a highly skilled Platform Engineer to join our dynamic team. The ideal candidate will have a strong background in system deployment and maintenance, with a keen eye for detail and a proactive approach to problem-solving. This role involves ensuring the stability and efficiency of our deployment processes, as well as developing and implementing fixes for any issues that arise.

What You'll Do:

• Architect and develop services that work at scale, for multiple customers using custom developed and Open Source software.
• Work within the team on the various products that the team supports.
• Develop tools to improve our ability to rapidly deploy and effectively monitor services in a large-scale distributed environment.
• Work with teams to design, develop, and implement innovative software solutions related to the DevOps and Agile transformation of the enterprise.
• Participate in periodic on-call duties
• Collaborate with peers both inside and outside your team.

What You’ll Bring:

• Exceptional systems development skills (Python/C/C++/go/rust)
• Strong systems integration skills (including http protocols, Kerberos, API programming).
• Experience providing secure APIs for system management and integration.
• Solid understanding and hands on experience working with Linux based systems.
• Strong working knowledge of container orchestration technologies such as K8S (preferred), and cluster management (E.g. Slurm)
• Experience with infrastructure as a code and related tools such as Helm, Ansible, Terraform.
• Hands-on knowledge with containerization systems such as Docker or Podman.
• Experience with CI/CD, GitLab (preferred), GitHub or Git.
• Experience with agile development.
• Experience with monitoring and logging systems such as Prometheus, Grafana, and the ELK stack.
• A great team attitude (our job is to make life easier for other teams!).
• Strong written and verbal communication skills in English.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
• Employee resources groups with strong diversity and inclusion culture 

#LI-DN1

What You'll Do:

• Architect As-A-Service solutions based on Open Source Software.
• Work within the team on the various products that the team supports.
• Develop tools to improve our ability to rapidly deploy and effectively monitor services in a large-scale distributed environment.
• Work with teams to design, develop, and implement innovative software solutions related to the DevOps and Agile transformation of the enterprise.
• Participate in periodic on-call duties.
• Collaborate with peers both inside and outside your team.

What You’ll Bring:

• Solid understanding and experience working with Linux based systems.
• Proficiency in Python for building APIs, developing automation scripts, and creating operational tools.
• Experience with modern authentication and authorization protocols such as OIDC, SAML, and Kerberos to ensure secure access to our platforms.
• Strong working knowledge of container orchestration with Kubernetes (K8s) is highly preferred. Experience with other cluster management systems like Slurm is a plus, especially if you have a background in large-scale computational environments.
• Proven experience with Infrastructure as Code (IaC) to automate the provisioning and management of our infrastructure, using tools like Terraform, Ansible, and Helm.
• Hands-on knowledge with containerization systems such as Docker or Podman.
• Experience with CI/CD, GitLab (preferred), GitHub or Git.
• Experience with agile development.
• A strong background in observability, with experience in monitoring and logging using tools like Prometheus, Grafana, and the OpenTelemetry (OTEL) stack.
• Experience using AI/LLM-powered tools and its concepts (MCPs, A2A,…) to support your development workflow is a plus.
• A great team attitude (our job is to make life easier for other teams!).
• Strong written and verbal communication skills in English.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with deployment of AI systems and large language models (LLMs) is not required but a plus.

What You'll Bring

• Bachelor's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem.
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Proven track record of mentoring junior engineers and fostering a collaborative team environment. 
• Experience in the finance industry is a plus but not required. 
• Experience MLOps, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package .
• Core benefits include: premium private health insurance.
• Strong culture of learning and development: training courses, guest speakers, share and learn events, etc.
• Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.
• Dynamic work without routine in a leading international company.

#LI-RS1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in Python on Linux platform
• Candidate must be willing to learn C++. Experience in C++ is a strong plus
• Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-DN1

• Building algorithmic, computer-driven models;
• Conducting research on academic quantitative finance literature;
• Exploring new data;
• Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

What You’ll Bring:

• Proven 3 years experience in quantitative equity research (buy side or sell side);
• Background in working with large data sets;
• Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar;
• Research mind-set: be a problem solver, creative, steadfast, smart, a self-starter, etc.;
• Ability to work independently with minimal direction;
• Critical thinking and ability to come up with non-standard approaches;
• Solid programming skills (C++ and Python);
• Good knowledge of English (both oral and written);
• Strong work ethic.

• Experience working with corporate actions data;
• Familiarity with equity index basics;
• International or regional Mathematical/Programming/Physics Olympiad medals;
• Strong record of academic achievement (PhD, scientific publications, conference presentations, grants or awards);
• Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.

What we offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc.);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance;
• Life insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
• Fruits & snacks in the office;
• Relocation package in certain cases

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a Senior Site Reliability Engineer to join the team. You will build and operate the infrastructure and tooling behind WorldQuant's data ingestion pipelines — systems that onboard, validate, and deliver large-scale datasets to the firm's research platform. This is a 70% build / 30% operate role. You'll spend most of your time engineering automation, observability, and developer tooling, while also participating in on-call rotations and incident response for production data pipelines. You'll partner with engineering, analyst, and research teams to ensure reliability at scale — this requires excellent analytical skills, clear communication, and the ability to collaborate across teams.

What You'll Do:

Build (70%):

• Design and develop automation, monitoring, CI/CD, and reliability features for the data onboarding pipeline
• Develop and maintain internal infrastructure and services that reduce toil and improve pipeline reliability
• Build observability solutions — dashboards, alerting, log aggregation — using Grafana, the ELK stack, and Vector
• Design and implement CI/CD pipelines, test automation, and release management workflowsWrite infrastructure-as-code for provisioning, scaling, and managing platform components: Kubernetes, bare metal hosts
• Integrate and extend tools such as Redis, Celery, MySQL

Operate (30%): Keep production data pipelines healthy and respond to incidents

• Participate in on-call rotation, respond to production incidents, and drive post-mortems
• Define and track SLOs/SLIs for pipeline reliability, latency, and data freshness
• Diagnose platform performance and reliability issues, driving them to root cause
• Create and maintain runbooks for common operational scenarios
• Plan capacity and optimize resource utilization

What You'll Bring

• 8+ years of experience in SRE, DevOps, or platform engineering roles
• Linux expertise: Power user proficiency in Linux with ability to manage infrastructure, deploy services, and troubleshoot production systems
• Python proficiency: Strong scripting and automation skills; experience building CLI tools, API clients, monitoring integrations, and operational tooling in Python
• Kubernetes & containers: Deep hands-on experience with Kubernetes — deploying, scaling, debugging, and managing production workloads. Familiarity with Helm, resource management. Solid experience with Docker
• Observability: Hands-on experience with monitoring stacks — Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar. Experience designing dashboards, alerts, and SLO-based reliability tracking
• CI/CD & infrastructure-as-code: Experience designing and maintaining CI/CD pipelines (GitLab CI, or similar), including test automation and release management. Familiarity with Ansible or similar IaC tools
• Databases: Working knowledge of relational databases (MySQL/PostgreSQL), query tuning, and operational database management
• Message queues & streaming: Experience with Kafka, Redis pub/sub, or Celery for event-driven architectures
• Networking & APIs: Understanding of network fundamentals, DNS, load balancing, and REST/gRPC APIs
• Incident management: Experience with on-call rotations, incident response, post-mortems, and runbook-driven operations
• Leadership & management: Proven track record of leading a team — mentoring engineers, driving technical roadmaps, coordinating cross-team initiatives, and managing priorities. Comfortable owning team delivery and representing the team to stakeholders
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development and operations workflow — treating AI as a force multiplier for automation, incident analysis, and toil reduction
• Nice to Have:
  • Cloud platforms: Exposure to GCP or AWS for compute, storage, and managed services
  • Data tools: Familiarity with Apache Arrow, gRPC, or columnar data formats
  • Big data platforms: Familiarity with Hadoop or Apache Spark for large-scale data processing
  • Programming languages: C/C++, Golang, Scala, JavaScript
  • Financial services or data-intensive industry background
  • SRE culture: Familiarity with Google's SRE book principles — error budgets, toil tracking, blameless post-mortems

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration.

What You'll Do:

• Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale
• Architect data storage and processing solutions, including schema design, query optimization, and data modeling
• Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers
• Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries
• Take ambiguous requirements and break them down into deliverable, well-engineered solutions
• Diagnose and resolve complex production issues - applying strong analytical and systems thinking
• Improve engineering practices: testing, CI/CD, observability, and documentation

What You'll Bring:

• 8+ years of professional software development experience
• Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code
• System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies
• Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing
• Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization
• Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory
• API design: Experience designing clean, well-documented REST/gRPC APIs
• Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation
• Nice to Have:
  • Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations
  • Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production
  • DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform)
  • Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering
  • Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations
  • Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures
  • Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks
  • Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards
  • Financial services or quantitative finance background
  • Open-source contributions or a public portfolio of technical work

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

What We Offer:

• Competitive compensation package. 
• Core benefits include: premium private health insurance. 
• Strong culture of learning and development: training courses, guest speakers, share and learn events, etc.
• Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.
• Dynamic work without routine in a leading international company.

• Retain, recruit, and develop a lean team of developers
• Drive cross team collaboration to ensure prioritization and execution
• Lead the adaptation of best-in-class engineering practices consistent with our technology organization’s  philosophy
• Escalate and resolve intra- and cross-group misalignment as needed 

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

• Design and build data pipelines and the data layer.
• Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
• Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
• Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
• Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.

What You’ll Bring:

• Degree in a technical or quantitative discipline from a top tier institution
• 3 to 8 years of working experience in software engineering
• Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages
• Experience with effective code version control, as well as Continuous Integration and Deployment.
• Exceptional communication skills in both verbal and written form.
• Excellent problem-solving abilities and judgment with strong attention to detail.
• Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
• Motivated by the transformational effects of technology-at-scale.
• Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial 
• Experience in finance is a plus but not required

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies.

As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.

The Role

• Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
• Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
• Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
• Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
• Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
• Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
• Manage and mentor a team of engineers, fostering technical excellence and accountability

What You'll Bring

• Bachelor's degree in Computer Science, a related field, or equivalent job experience
• 6+ years of hands-on industry experience building scalable, high-reliability backend systems
• Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
• Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
• Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
• Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
• Working knowledge of a Unix/Linux environment
• Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
• Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
• Solid understanding of data structures, algorithms, and system design trade-offs
• Relational and non-relational database experience
• C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
• Previous people management experience is a plus

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.

What You’ll Bring:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science
• Python programming proficiency
• Familiarity with data structure and algorithms
• Strong understanding of software development principles and methodologies
• Excellent communication and interpersonal skills
• Interest in finance, quantitative trading or financial data a plus

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: As a Software Engineer Intern at WorldQuant, you will join a team building high‑performance, mission‑critical systems that power our business.  We seek entrepreneurial, motivated candidates who have a passion for technology and aspire to have an impact. You may work on applications that support our investment and trading processes, or on the core infrastructure and platforms that enable large‑scale data processing, distributed computation, and automation across the firm. The work requires a solid understanding of how computers operate at a low level and the ability to turn that knowledge into robust, practical solutions. You’ll contribute to our next‑generation technology stack, helping to drive future growth and set a high bar for technical excellence in the industry.

What You’ll Do

• Design, build and maintain high‑performance, reliable software components used in our research and trading platforms;
• Develop data processing pipelines and distributed systems that operate at scale;
• Collaborate closely with researchers, engineers and other stakeholders to understand requirements and translate them into technical solutions;
• Contribute to code reviews, testing, monitoring and continuous improvement of our systems;
• Proactively seek opportunities to improve performance, reliability and developer productivity;

What You’ll Bring

• Currently pursuing a degree in quantitative or technical field (e.g. Computer Science, Engineering, Mathematics, Physics) with strong academic performance
• Strong programming skills in one or more object‑oriented languages (e.g. C++, Python)
• Solid understanding of software development principles and methodologies
• Excellent problem‑solving and analytical skills, with strong attention to detail
• Evidence of high achievement (e.g. academic awards, Olympiads, notable projects, or other areas of excellence)
• A mature, thoughtful working style, with the ability to thrive in a collaborative, team‑oriented culture
• Self‑motivation and initiative; you ask thoughtful questions, seek clarity where needed, and drive your work to high standards
• Interest in finance, quantitative trading or financial data a plus

#LI-DN1

The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.

• Assist in developing and optimizing data infrastructure that powers our quantitative research and trading strategies .
• Help design and implement computational frameworks that execute our quantitative models and strategies.
• Work with Quants to understand their needs and provide technical solutions that enhance their workflow.

What You’ll Bring

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science
• Python programming proficiency
• Familiarity with data structure and algorithms
• Strong understanding of software development principles and methodologies
• Excellent communication and interpersonal skills
• Interest in finance, quantitative trading or financial data a plus
• Internship duration - at least a 3 months' commitment for the period June to December 2026

• Write low latency, high throughput C++ code
• Implement mission critical trading infrastructure
• Work with portfolio managers to implement new trading systems
• Adapt existing systems to our next generation trading platform

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role:

• Participate in the development and maintenance of our large-scale, distributed storage platform.
• Interface with the users of the system to understand their use-cases and assist them in making the best use of our tools and platforms
• Research best practices and propose feature specifications for our platform roadmap
• Develop and maintain features and tools that complement our core platform offering

What You'll Bring:

• University Degree, preferably in Computer Science, Electrical Engineering or related fields.
• At least 5 years of work experience.
• Strong (English) communications skills and experience working in a global environment
• Expertise in Software Life Cycle management methodologies and tools, including Git and JIRA (required)
• Expertise in C/C++, and/or Go and/or Python (at least one required)
• UNIX/Linux (required).
• Knowledge on the design and development of large-scale, distributed storage systems (desirable)

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

What You’ll Bring:

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
• Strong programming skills in mainstream quant programming languages, such as Python and C++
• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.

The Specialized Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

#LI-JB1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

What You’ll Bring:

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
• Strong programming skills in mainstream quant programming languages, such as Python and C++
• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.

The Specialized Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to *WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

*WorldQuant, a division of Millennium Capital Management EMEA Israel Ltd

#LI-JB1

Location: Old Greenwich, CT

The Role: The Finance organization is responsible for the management and control environment for WorldQuant on a global basis. The team works closely with managers, local accounting groups and advisors/consulting firms for affiliated offices around the world. Staff members are expected to act as financial managers for their assigned offices/countries by assisting in strategic planning and providing financial analysis.

We are seeking for an innovative staff accountant to join our finance team, initially focused on the company’s operations in China. The accountant is expected to be able to handle work independently, perform a self-review, and reach out to the line manager as needed. The manager is responsible for reviewing, training and developing their team with a constant feedback loop, so you can expect regular check-ins and an opportunity to grow.

• Review and ensure appropriate approvals for all financial transactions
• Participate in monthly and annual close processes for multiple corporate entities
• Reconcile monthly bank statements and monitor cash flow
• Analyze the monthly intercompany balances and ensure the timely movement of funds between entities
• Review account reconciliations and provide analysis of results/variances
• Prepare monthly expense forecasts and annual budget
• Guide local accountants by coordinating activities and answering questions
• Assist in ad-hoc projects and analytical work
• Flexibility on working hours may be required in order to interact with staff in China

What You’ll Bring:

• Advanced Excel skills are required and will be evaluated as part of the interview process
• 2-4 years of relevant experience
• Knowledge of Workday general ledger and human resource systems is a plus
• Able to manage multiple projects simultaneously
• Excellent oral and written English and Mandarin Chinese skills required
• Global cash flow experience is preferred

Our Benefits:

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $95,000 – $115,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

The Role: We are seeking an exceptionally talented technical project manager to join our team. This person will be working in a very dynamic fast paced environment working with the business, the technology team, and our project managers to gather information, analyze and display data and contribute to the project management process. We are looking for someone who can work independently but also as part of team.
 

What You’ll Do:

• Develop systems and procedures to assist management in operating more efficiently and effectively.
• Execute project tasks, including gathering data and requirements, analyzing data, documenting processes, designing solutions, and preparing executive presentations.
• Carry out project management activities, including project planning, resource planning, status reporting, and risk and issue tracking. 
• Build and present tailored demonstrations, proving the solution using scenario/use case
• Definition, maintenance and continuous development of analytics for business stakeholders
• Consult business requirements with stakeholders and translate these into solutions
• Provide support to others who are responsible for implementing and maintaining business requirements
• Identify process challenges and implement appropriate corrections or enhancements
• Establish and maintain strong business relationships. Demonstrate an understanding of technology and technology projects.

What You’ll Bring:

• 5+ years experience in project/program management with a technical degree, or equivalent experience
• Prior experience within a business consulting or project management function is required
• Demonstrated experience delivering high-quality, progressive reports in an easy to understand format
• Comfortable working with senior management; willing to offer suggestions and opinions
• Proven experience with driving and leading high impact projects
• Ability to interpret and translate business needs into actionable practices
• Capable of building trust through demonstrated competence and ability to execute upon
• deliverables
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Motivated by the transformational effects of technology-at-scale
• Excellent problem solving ability with strong attention to detail in a fast paced environment
• Excellent communication skills in both verbal and written form, strong command of the English language

#LI-RS1

The Role: We are looking for a dedicated and motivated Project Manager who will be responsible for shepherding global Research initiatives. The Project Manager will be a key member of the leadership team of the project, coordinating activities with various global managers and leaders. If you have excellent people skills, business acumen and exemplary work ethics, we’d like to meet you. The goal of the Project Manager role is to secure the functionality of the project to drive extensive and sustainable growth.

Job Responsibilities (include, but not limited to the following):

• Discuss/Justify/Convince/Coordinate activities with various senior and mid-level managers in various functions, in order to shepherd and expedite good ideas into decision/action/reality.
• Initiate discussions to help bring to light issues of the project, identify solutions, and lead and shepherd the implementation of those solutions.
• Collaborate with project leaders in setting and driving organizational vision, operational strategy, and hiring levels for the project.
• Develop actionable project strategies and plans that ensure alignment with short-term and long-term objectives developed in tandem with project leaders.
• Translate strategy into actionable steps for growth, implementing project goal setting, performance management, and operations planning of the project.
• Build and maintain positive relationships and drive collaboration with various colleagues to ensure successful execution and delivery of projects
• Perform regular assessment of project execution to identify areas for improvement
• To coordinate with internal resources across functions, ensuring project remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments
• Provide project updates on a consistent basis to various stakeholders about strategy, adjustments and progress
• Develop and maintain project plans documentation, report on project progress and risks to management

What You’ll Bring:

• Hold a Bachelor’s degree or advanced degree(s) from a leading university
• 5+ years of experience as a Project Manager or in similar role
• Experience as a team leader
• Excellent verbal and written communication skills
• Fluent in spoken and written English
• Self-starter: has shown an ability to set up initiatives and see them to the end without supervision.
• Proven ability to solve problems creatively
• Strong familiarity with project management methodologies and best practices
• Experience seeing projects through the full life cycle
• Excellent analytical skills
• Strong interpersonal skills and extremely resourceful
• Proven ability to complete projects according to outlined scope, budget and timeline
• Ability to diagnose problems quickly and foresee potential issues
• Ability to multitask, work independently and as an integral member of the team with minimal supervision
• Any of the following would be an added bonus:
  • Experience in business management
  • Experience in the quant or finance domains

What We Offer:

• Competitive financial compensation
• Friendly and collegial working environment
• Flexible working hours
• Competitive employee benefits
• A culture of continuous learning

Technology: Don’t See a Role That’s a Fit? Join Our Tech Talent Community.

Thank you for your interest in joining WorldQuant. If you would like to join our Technology team but don’t see an open position that’s the right fit for your skill set on our Careers page, please submit your resume here to join our Tech Talent Community and we’ll be in touch if you may be a fit for a future opportunity.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-RS1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• Collaborate with cross-functional distributed teams.
• Gather, analyze and spec out requirements, and manage product deliverables.
• Design and build scalable AI-driven products addressing real-world problems.
• Stay current with the latest technical advancements, particularly in the field of AI and LLMs.

• Strong programming skills, preferably in Python.
• Exceptional analytical skills and a passion for solving complex problems.
• Thorough understanding of how AI works and familiarity with language models.
• Understanding of vector databases and other relevant data structures.
• Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.)
• Excellent communication skills in English.
• Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.
• A strong delivery mind-set, drive to get things done.
• Experience in finance is not required.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-DN1

The Role: WorldQuant is seeking a bright individual to join our Portfolio and Treasury Services team in Mumbai as an Analyst. The ideal candidate would be someone, who is self-driven and motivated and enjoys being immersed in the mechanics of the financial markets. The role will focus on the daily operations and related activities. The candidate will need to provide level 1 operational support to the front office teams, as well as portfolio managers. Level 1 support will include:

1. Start-of-day checks in each region
2. Managing exceptions and alerts triggered via standard operational workflows
3. Resolving trading outages quickly and ensuring minimum system downtime from an operations perspective
4. Escalating issues to team leads and engaging with stakeholders to refine the workflows

Additionally, the individual will be responsible for reconciling WorldQuant’s activity globally and handle breaks with counterparties.

The role will require flexibility to work in night shifts.

What You’ll Bring:

• Degree in finance or other business-related discipline.
• Prior work experience of 1-3 years.
• Reasonable proficiency in SQL and UNIX will be desirable, but not mandatory.
• Exposure to asset classes like Equity, Futures, FX and Derivatives, although not mandatory, would be viewed favourably.
• Strong communication skills in both verbal and written form.
• Excellent problem-solving abilities with strong attention to detail.
• Mature, thoughtful, with ability to operate in a collaborative, team-oriented culture.

Position based in Mumbai, India

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• 5+ years of experience in software development and interest in running real-world applications at scale.
• Excellent problem-solving abilities and judgment with strong attention to detail
• Demonstrated experience developing scalable and robust software.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas…
• Working knowledge in various database and messaging technologies such as SQL, Redis, Kafka etc
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Experience with Linux environment and shell scripting.
• Bachelor’s degree in Computer Science or related discipline or equivalent job experience.
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-VP1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that exploit statistically-based predictive signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• State-of-the-art cross asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to cutting edge AI and Machine Learning efforts in financial markets

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-GO1
#LI-JG1

The Role: The Platform Solutions team assesses designs and improves the firm’s operating models to support current and future products. It considers how functions and systems align with product needs, identifies gaps and opportunities, and drives solutions to enable scalable growth within WorldQuant Millenium Advisors, a joint venture between WorldQuant and Millennium.

Reporting to the Global Head of Platform Solutions, this person will run the guideline monitoring function, support the operational evaluation of prospective and new products, assist with vendor initiatives, and provide business analysis and project management across related projects. More detailed role responsibilities include:

• Support product onboarding for guideline monitoring, including rule interpretation, documentation, and testing within the guideline monitoring platform.
• Support day-to-day guideline monitoring and reporting, including maintaining rules, report distribution, facilitation of breach review and resolution, and compliance reporting.
• Produce reporting and analysis for compliance, performance & attribution, strategy, and related areas.
• Analyze how functions and systems support products to identify gaps, risks and optimization opportunities.
• Support vendor-related activities, including requirements gathering and coordination.
• Generate, review, and validate portfolio statistics
• Provide project management support including organizing meeting materials and tracking key objectives.

What You’ll Bring:

• Bachelor’s degree in business, finance, accounting or similar analytical discipline
• 2-5 years of relevant experience in a financial services industry role (e.g., Ops, Product)
• Strong skills in requirements gathering, workflow building; experience with vendor management is helpful.
• Ability to engage across many workstreams, operate well under tight deadlines with high detail orientation
• Excellent oral and written communication skills, ability to work effectively with cross-functional stakeholders
• Proficiency with Excel and PowerPoint; experience with process mapping tools (e.g., MS Visio)

Position based in Mumbai, India

#LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms.

What You'll Do

• Write low latency, high throughput C++ code
• Implement mission critical trading infrastructure
• Work with portfolio managers to implement new trading systems
• Adapt existing systems to our next generation trading platform

What You'll Bring

• Experience with writing of high performance C++ code
• Modern C++ knowledge (C++17/20, etc)
• C++ template meta programming knowledge
• Possess in-depth knowledge of network programming and distributed computing
• Strong knowledge of Unix/Linux fundamentals
• Strong understanding of data structures and algorithms
• Finance experience is preferred but not required

The Role: We are seeking a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.

Job responsibilities include, but not limited to the followings:

• Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
• Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
• Develop insights based on the data and collaborate with the research team to generate signals.
• Developing the utility tools that can further automate the software development, testing and deployment workflow.

 What You’ll Bring:

• Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
• Practical experience with and understanding of deep neural networks and other machine learning techniques.
• Demonstrated ability to implement data science pipelines and real-time applications in Python
• 3+ years of relevant experience as a Data Engineer or similar roles.
• Proficiency with python-based tools like Jupyter notebook, coding standards like pep8.
• Experience with LLM/AI for data processing is a plus
• Exceptional analytical & problem-solving abilities, with a strong attention to detail.
• Good command of English
• Excellent software development skills: ability to convert rough overall use-cases to a working codebase.\
• Motivated by a deep curiosity and passion to learn is a plus.
• Past experience as a data scientist or data engineer in finance or investment profile is a plus.
• Experience with Linux/Unix shell and Git is a plus.

The Role: We are seeking for a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.

Job responsibilities include, but not limited to the followings:

• Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
• Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
• Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
• Develop insights based on the data and collaborate with the research team to generate signals.
• Developing the utility tools that can further automate the software development, testing and deployment workflow.

 What You’ll Bring:

• Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
• Practical experience with and understanding of deep neural networks and other machine learning techniques.
• Demonstrated ability to implement data science pipelines and real-time applications in Python
• 3+ years of relevant experience as a Data Engineer or similar roles.
• Proficiency with python-based tools like Jupyter notebook, coding standards like pep8.
• Experience with LLM/AI for data processing is a plus
• Exceptional analytical & problem-solving abilities, with a strong attention to detail.
• Good command of English
• Excellent software development skills: ability to convert rough overall use-cases to a working codebase.\
• Motivated by a deep curiosity and passion to learn is a plus.
• Past experience as a data scientist or data engineer in finance or investment profile is a plus.
• Experience with Linux/Unix shell and Git is a plus.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-NV1

THE ROLE 岗位职责: 

WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

• Perform analysis and generate models of financial datasets using machine learning techniques
  运用机器学习的方法分析并构建金融数据模型
• Verify the integrity of unstructured data and turn data into potentially valuable insights
  验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WHAT WE OFFER 你将会获得:

• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship
  完善的导师培训机制、一对一师从资深从业者
• Competitive internship compensation
  有竞争力的实习薪资
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
  国际化视野，与WorldQuant 全球各地多个团队共事、交流
• Flexibility of self-managed work progress, comfortable working environment, and rich employee activities
  灵活自主安排工作进度，舒适的办公环境及丰富的员工活动

WHAT YOU'LL BRING 你需要具备:

• Pursuing a Master's or PhD degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  正在攻读相关领域的硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等）
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
  熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统
• Research experience in Deep Learning, NLP, and/or LLM is a plus
  有深度学习、自然语言处理和/或大语言模型等研究经验者优先
• Good English reading and writing skills
  良好的英语读写能力

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQChinaIntern@worldquant.com

The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。

• Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas
• Good academic record
• Familiar with modeling, data structures, algorithms and optimizations
• Strong knowledge of machine/deep learning algorithms
• Proficient in programming languages of both C++ and Python
• Possess good communication and presentation skills in English
• Ability to work independently and as member of a team
• Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Detail oriented and capable of multitasking and delivering in fast-paced work environment

• While not mandatory, a strong interest in financial markets will definitely be beneficial
• Participant of ACM-ICPC

THE ROLE 岗位职责: 

WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

• Perform analysis and generate models of financial datasets using machine learning techniques
  运用机器学习的方法分析并构建金融数据模型
• Verify the integrity of unstructured data and turn data into potentially valuable insights
  验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WHAT WE OFFER 你将会获得:

• Competitive compensation
  有竞争力的薪资
• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 
  完善的导师培训机制、一对一师从资深从业者
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
  国际化视野，与WorldQuant 全球各地多个团队共事、交流
• Flexibility of self-managed work progress, comfortable working environment, rich employee activities, and generous employee benefits
  灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利

WHAT YOU'LL BRING 你需要具备:

• Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等）
• Candidates should be graduating in 2025 or 2026
  候选人需于2025年或2026年毕业
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
  熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统
• Research experience in NLP, Deep Learning is a plus
  有自然语言处理、深度学习、人工智能等研究经验者优先
• Good English reading and writing skills
  良好的英语读写能力

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com

The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。

The Role: This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.

• Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis.
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research.
• Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research.
• Take a process orientated approach to understand the value drivers of your Alphas

What You’ll Bring:

• At least 2 years of relevant financial research experience
• Proven experience of extracting insights from large and complex datasets using SQL and Python. Experience with alternative datasets a plus.
• Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification (i.e., MBA or accountancy background). Thorough understanding about various valuation approaches and methods.
• Expertise in time series analysis and models.
• Proficient in coding in C/C++ and Python.
• Excellent communications skills (both written and oral English).
• Strong analytical and conceptual skills encompassing finance and related areas of financial investment.
• Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred.

What We Offer:

• Dynamic work without routine in a leading international company;
• Competitive compensation package, which may include annual bonuses and salary increases;
• Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc);
• Possibility for business trips to the US and other countries;
• Regular team building, competitions and corporate events;
• Monthly team lunches;
• Medical insurance;
• Life insurance;
• Support program for employees and their relatives on psychological, legal, and financial issues;
• Parental leave program for secondary care givers;
• Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
• Modern office in the city center with coffee, fruits & snacks!
• Relocation package in certain cases

Position based in Yerevan, Armenia.