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

• 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

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, New York, Singapore, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

We are seeking a Software Engineer for our office in Yerevan, Armenia, who can help to automate the work done by our Quantitative Researchers. Having robust, scalable code which underpins the performance and reliability of the components is vital to the success of the firm’s research. You will partner closely with Quantitative Researchers to develop a wide range of software. 

Within your time with us you might:
 
•    Automate workflows for researchers; streamlining, productionising, and testing new models implemented by the Quantitative Researchers (mostly Python). 
•    Organise and support production code, checking dependencies, handling missing data, raising timely alerts, and ensuring informative logging etc (mostly Python). 
•    Develop ETL processes to handle a vast range of data.
•    Write unit and integration tests (googletest, pytest, unittest.mock).
•    Contribute to research libraries (mostly C++).
•    Code review (C++ and Python).

We operate with great agility, and the impact of your work will be both visible and large. Please note, however, that the role does not involve implementation of quant algorithms.

Essential Attributes

• At least 3 years of experience as a Software Engineer in a leading firm with Python as a main language.
• A history of high academic achievement, with at least an undergraduate degree (upper second class or better, or international equivalent) from a well-regarded educational establishment in Computer Science or a related technical field.
• Competency in C++.
• Ability to write Python libraries that would be used by quants.
• Understanding of the operational, maintenance, monitoring and support aspects of a business-critical system.
• Ability to proactively identify problems, bottlenecks, ways to improve workflow and software.
• Implementing software workflows / testing and deployment methodologies in an extremely agile environment.
• At least intermediate level of both English and Russian.
  
  
  

Desirable Experience

• Workflow automation systems (airflow, prefect, dagster).
• ETL, ELT processes (pandas, dask, spark, parquet).
• Time-Series DataBases (TimescaleDB, VictoriaMetrics, Prometheus, InfluxDB)
• Systems monitoring tools (Dash, Grafana, Sentry, ELK).
• Scientific python instruments (numpy, pandas, scipy, cython).
• Computational Mathematics.
• Data describing libraries (dataclasses, pydantic)
• Static code analysis tools (ruff, pylint, mypy, pyright, flake8).
• Cloud services (AWS, GCS)
• Performance (CPU, Memory, Filesystem) profiling and optimization.
• CI/CD technologies (Github Actions, Gitlab CI, Jenkins).

Benefits

• Working in a collaborative and friendly culture in a diverse team of outstanding talented people from across all industry backgrounds.
• Wellness allowance.
• Extensive medical benefits for employees and their dependents.
• Personal accident and critical illness insurance.
• Catered meals in the office.
• Weekly corporate massage sessions in the office.
• Relocation support for candidates residing outside of Yerevan, Armenia.
• 25 days holiday per year + statutory holiday and paid sick days.
• We work 4 days per week in the office, 1 (at one's discretion) from home unless stated otherwise.
  
  

Hiring Process

• 4 interviews (phone/video/onsite).
• Coding exercise.
• Professional references check.
• Background check.