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.

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.