Deep Researcher

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

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);
• Solid understanding of machine learning, hands-on experience with scientific and data libraries such as NumPy and pandas, experience with deep learning / ML frameworks such as PyTorch and Keras;
• Working proficiency with AI-assisted development tools (Claude Code, OpenCode, Roo Code or similar);
• 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.

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2025 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

We are seeking a highly hands-on
Senior Data & AI Solution Architect
to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role translates business requirements into secure, scalable, supportable architectures and guides delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement.

Key responsibilities:

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Requirements:

Must have:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages:

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

We're looking for a
Senior Data Engineer
with strong
Python
skills and hands-on
Spark infrastructure
experience to help run and evolve our data platform operations. You'll partner closely with engineers across the team and with Data Scientists, providing support and building processes that keep our large-scale data infrastructure running smoothly and reliably. This role is ideal for someone who enjoys owning platform reliability end-to-end - from pipeline design to production observability.

Responsibilities

• Partner with engineers across the team to operate and evolve the data platform
• Work closely with Data Scientists, providing technical support and ensuring smooth day-to-day operations
• Build, maintain, and improve CI/CD pipelines for data workflows
• Manage and optimize Spark infrastructure supporting a high volume of jobs
• Manage Kubernetes resources for on-prem workloads
• Implement and maintain authentication and data governance practices
• Handle file compaction and maintenance across HDFS and object stores
• Design and maintain partitioning strategies, schemas, and type-safe data models using table formats like Iceberg/Hive
• Set up and maintain observability tooling (Prometheus, Grafana, OpenTelemetry) and participate in on-call rotations
• Collaborate cross-functionally as a strong team player across engineering and data science teams

Requirements

• Strong hands-on expertise with CI/CD pipelines
• Solid experience with Spark infrastructure at scale
• Background in distributed systems
• Experience managing Kubernetes resources
• Practical knowledge of authentication and data governance principles
• Familiarity with file compaction and maintenance on HDFS or object stores
• Strong grasp of data engineering fundamentals: partitioning, schema design, type safety, and table formats (Iceberg, Hive)
• Experience with observability and on-call practices, using tools like Prometheus, Grafana, and OpenTelemetry, including alerting setup
• Proficiency in Python and Airflow
• Experience with Kubernetes (on-prem) and Docker
• Familiarity with Trino/Presto
• Strong communicator and collaborator, comfortable working cross-functionally

Nice to have

• Experience with Scala

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.

Think finance is stuffy? Think again.

"At Equiti, we’re building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we’re seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our
Data department
would like to welcome a detail-oriented.

Senior BI Analyst
in our office in
Yerevan, Armenia

Responsibilities

• Design and develop Power BI reports, dashboards and supporting datasets on certified gold semantic models
• Migrate legacy reports onto the gold model and automate recurring manual reporting (including end-of-quarter finance outputs), retiring untrusted or duplicated reports
• Enhance, maintain and adapt data models to changing business and operational requirements, in line with the Group’s modelling and DAX standards
• Build and deliver capabilities that enable business self-service around reporting, analytics and dashboarding
• Validate outputs rigorously against certified definitions; troubleshoot and correct issues in existing reports
• Apply AI-assisted development in daily work - LLM-assisted DAX, M and SQL, Copilot in Power BI, and automated data-quality and reconciliation checks - while owning the accuracy of what ships
• Tune performance of models and reports (query folding, incremental refresh, aggregations)
• Provide technical consultation to business partners across global offices and document what you build
• Contribute improvements to the BI team’s ways of working - documentation, reusable patterns, quality checks - and implement them
• Support a repeatable onboarding pattern as new Group entities adopt the shared BI platform

Skills & Competencies

• Strong command of the Microsoft Power BI stack, with advanced DAX for data shaping and modelling and strong Power Query / M skills
• Data visualization craft and command of best practices for executive and operational audiences
• Rigorous validation habits - you treat reconciliation against certified definitions as part of the build, not an afterthought
• Clear communication with non-technical stakeholders across time zones
• Comfort using AI coding and analysis assistants productively and critically
• Self-starter who can take a designed pattern and deliver volume against it with high quality

Experience Requirements

• 4+ years of commercial experience in BI development or analytics, with substantial hands-on Power BI delivery
• Data modelling experience with Tabular models; advanced DAX in production reports
• Strong MS SQL Server / T-SQL experience; SSIS or modern pipeline tooling (e.g. Azure Data Factory / Fabric pipelines) is a plus
• Experience migrating or consolidating legacy reporting estates is a strong advantage
• Performance troubleshooting and tuning of Power BI models and reports
• Exposure to Microsoft Fabric, Power BI deployment pipelines, or streaming datasets is a plus
• Bachelor’s degree in computer science, information systems or a related field, or compensating experience

Perks

Each of our offices has its special perks; be it ‘no ties’, free lunches, charity events, or a hybrid work policy – but whenever you walk into an Equiti office, you’re sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more.

The benefits you can expect at your Equiti workplace include:

• Competitive salary package
• Performance-based bonus
• Medical insurance coverage for employees and family members
• Smart working options
• Employee wellness initiatives
• Personalized career development
• Company lunch in the office
• Regular company events

With energy, drive, and imagination, there’s no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences.

Equiti is an equal opportunity employer.

“Equiti” refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.