Pandas Jobs in Armenia.
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Senior ML-Engineer, Finance
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Armenia, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analytics Team Lead, New Products
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Highlights:
Location: Armenia, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.
Currently, we have three key focus areas:
1. P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
2. Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
3. Major Donors: Leveraging AI to identify and engage high-value donors.
At the moment, the team consists of one analyst who has already started working on the P2P product.
What You’ll Do
- Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
- Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
- Evaluate the performance of new product launches
- Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines
Requirements
- 5+ years of experience as a Product Analyst
- 2+ years of team management experience
- Strong knowledge of mathematical statistics and probability theory
- Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
- Advanced SQL skills
- Experience with BI tools (Tableau, Power BI, Metabase)
Our Tech Stack
- Python
- ClickHouse, MongoDB, PostgreSQL
- Tableau, Grafana
- Airflow
- Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
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Highlights:
Role: Senior ML-Engineer
Location: Armenia, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, Donor Portal
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Highlights:
Location: Armenia, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.
What You’ll Do
- Run A/B tests
- Identify insights in data, conduct research, and help product teams uncover growth opportunities.
- Work with retention rate and subscription/supporter LTV metrics.
- Design and build data marts.
- Develop and maintain BI dashboards.
- Handle ad-hoc requests from product teams.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, GTM
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Highlights
Location: Armenia, Remote
Language: Russian-speaking team; English proficiency required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.
What You’ll Do
- Uncover critical insights by forming hypotheses and validating them with data.
- Identify global and local trends in user behavior to inform product decisions.
- Analyze and interpret customer metrics to measure impact and value.
- Design and evaluate A/B tests with prospective customers to optimize performance.
- Handle ad-hoc analytical requests from stakeholders across the organization.
Requirements
- 4+ years of experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Excellent command of written and spoken English (C1 level or higher).
- A proactive, curious mindset with strong analytical and communication skills.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana, Metabase
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, OX
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Highlights:
Location: Armenia, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.
What You’ll Do
- Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
- Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
- Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
- Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
HR Data Analyst
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BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.
At BrainRocket, we manage a high-growth ecosystem of 6,000+ employees across 5+ countries and we are seeking a strategic HR Data Analyst to lead our infrastructure migration to HiBob, standardize our global people metrics, and transform raw data into a strategic asset for leadership and Total Rewards.
Key Missions
- Lead the technical transition from BambooHR to HiBob. You will own the data mapping, historical data migration, and the establishment of a "Single Source of Truth" to ensure 100% data integrity.
- Partner with leadership to execute high-accuracy headcount modeling and payroll budget forecasting. Shift the department from reactive reporting to predictive analytics (e.g., turnover predictors and hiring ROI).
- Eliminate manual reporting bottlenecks. Utilize Python and SQL to automate recurring data pulls, complex calculations, and stakeholder dashboards.
- Design and maintain intuitive, self-service BI dashboards (Tableau/Power BI) to empower stakeholders with real-time, actionable insights.
Your Toolkit
- 3+ years in data analytics, handling large-scale datasets.
- Deep understanding of HR-specific KPIs (Turnover, eNPS, C&B, Retention).
- Advanced SQL, Python (Pandas, NumPy), and Excel for complex financial modeling, payroll simulations, and automation; expert at architecting data models and dashboards in Tableau or Power BI.
- Ability to translate technical datasets into strategic advice for the Head of Total Rewards and stakeholders.
Our Offer
- Impact a global tech environment during a critical digital transformation phase.
- Full support including flight tickets, visa processing, and 2 weeks of accommodation.
- Competitive salary with annual reviews
- Medical insurance.
- 23 days of annual leave + 6 paid sick days.
- Continuous learning opportunities and a data-driven environment where your insights directly drive change.
Bold moves start here. Make yours. Apply today!
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Ready to apply?
Apply to BrainRocket
Software Engineer
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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.
Ready to apply?
Apply to XTX Markets