• 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 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.

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. 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 Research Intern. 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.

Job Responsibilities include, but are not limited to, the following: 

• Building quantitative models of financial markets
• Performing analysis of financial datasets
• Exploring academic literature on mathematical finance
• Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

What You'll Bring: 

• 3rd year of studies or higher (including MSc and PhD students) from a top university in a highly analytical/quantitative field, such as: Mathematics, Computer Science, Physics, Economics, Finance or similar
• Research mind-set: being a deep thinker, creative, persevering, smart, a self-starter, attentive to detail, etc.
• Demonstrated ability to program in C++ and/or Python
• Willingness to learn about worldwide financial markets
• Knowledge of English (B2 level or above)
• Strong work ethic

As a plus:

• Participant of International or regional Mathematics/Programming/Economics/Physics Olympiads
• Strong record of academic achievement (such as scientific publications, conference presentations, grants or awards)

Unique Opportunity:

• To understand the connections between advanced mathematical, computational and machine learning methods, and the modern financial industry
• Potential to be considered for a permanent position after graduation, based upon internship performance (among other factors)
• To work with world-leading researchers in a friendly and collegial environment
• To learn from who sits next to you!

What We Offer:

• Dynamic work without routine in a leading international company
• Competitive compensation package
• Healthy work-life balance support (flexible start of working day)
• Regular team building, competitions and corporate events
• Monthly team lunches
• Culture of continuous learning: online courses, trainings, invited speakers
• Coffee, fruits & snacks in the office!

Position based in Yerevan, Armenia.

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 Lead 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. 
• 7+ 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. 
• 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 with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

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.

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. 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. 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.

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

• Building algorithmic, computer-driven models;
• Conducting research on academic quantitative finance literature;
• Exploring new data;
• Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics;
• Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications.

What You’ll Bring:

• 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: being a deep thinker, creative, persevering, inquisitive, a self-starter, attentive to detail, etc.;
• Critical thinking and ability to come up with non-standard approaches;
• Solid programming skills (C++ and/or Python);
• Willingness to learn about worldwide financial markets;
• Good knowledge of English (both oral and written);
• Strong work ethic.

Additional Preferred Qualifications:

• International or regional Mathematical/Programming/Physics Olympiad medals;
• Strong record of academic achievement (PhD or equivalent experience, scientific publications, conference presentations, grants or awards);
• Relevant experience in Research or Software engineering;
• Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.;
• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs.

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 and 5 extra vacation days 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 and critical illness 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.

#LI-VM2

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:

• 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;

#LI-MH1