• Accounting and tax accounting in accordance with the legislation of the Republic of Kazakhstan.
• Preparation, verification and processing of primary accounting documents.
• Working with contracts, payment invoices, certificates of completed work and electronic invoices (ESF).
• Accounting for the sale of services, receipts and settlements with counterparties.
• Monitoring of accounts receivable and accounts payable.
• Reconciliation with counterparties.
• Accounting for banking operations and payment control.
• Participation in the calculation of salaries, vacation pay and other payments to employees.
• Preparation of documents for tax and statistical reporting.
• Participation in the preparation and submission of tax and financial reports.
• Working with electronic services of government agencies and electronic document management.
• Interaction with management, employees and counterparties on accounting issues.

- Experience as a Full Stack QA Engineer for 3+ years. 

- Experience in functional, integration, API, and E2E testing across the full user journey: onboarding and consent, task queue, data capture and upload, review, earnings, and payouts 

- Automation experience in Java/Kotlin. 

- Strong experience in API automation (REST and/or gRPC), including tools such as Postman. 

- Experience working with Selenium/Selenide. 

- Hands-on experience with Appium. 

- Understanding of microservices and event-driven architecture: retries, timeouts, idempotency, duplicate events, eventual consistency. 

- Experience testing financial flows: accruals, balances, batch payouts, reconciliation with third-party payout providers. 

- Understanding of data privacy requirements: consent management, data retention, erasure. 

- Experience testing time- and quota-based logic: TTL-based task reservations, expiry and reassignment, volume limits, targeting by country/language/segment. 

- Ability to investigate issues using logs, metrics, traces, databases, and message queues (Grafana, CloudWatch, Kibana, Kafka, SQL/MySQL). 

- Experience working with CI/CD, Docker, AWS-based environments. 

- Ability to validate consistency across the mobile app, WebView, back office, backend APIs, distributed services, and troubleshoot partial failures and partner/service outages. 

- Experience contributing to test strategy, requirements reviews, release validation, and production issue analysis with a focus on business risk. 

- Level of English – from Intermediate+ and above.

Main requirements:

- Analytical mindset;

- Responsibility, diligence;

- Ability to learn, determination;

- Ability to work in a team;

- Desire to grow and develop;

- Initiative;

- Basic skills in writing technical and marketing documents;

- Experience in implementing projects for monitoring infrastructure and applications;

- Knowledge of English at the level of reading technical documentation.

Required technical skills:

- Experience in Windows Server system administration;

- Experience in MS SQL Server system administration;

- Skills in Red Hat Linux administration;

- Knowledge of TCP/IP;

- Basic knowledge of network technologies;

- Knowledge of java, .net;

- Familiarity with TCPdump, Wireshark utilities;

- Familiarity with traffic mirroring technologies (Cisco, SPAN).

Preferred (will be a plus):

- Knowledge and programming experience in: java, perl, SQL, C;

- Knowledge of HP RUM, HP Diagnostic, BMC EUEM, AppDynamics, Riverbed, New Relic APM systems, and others.

-  Experience in QA of at least 5 years, including at least 2 years as a lead

-  Confident knowledge of linux

- Experience in testing web and API; Postman/Swagger, DevTools

Experience working with AI video generators and motion design tools.

Video editing skills and the ability to create realistic visual scenes.

Sense of composition, attention to detail, and understanding of visual storytelling.

A portfolio of AI videos will be an advantage.

- Confident knowledge of SQL (SELECT, JOIN, GROUP BY, window functions, data filtering and aggregation).

- Basic Python skills for data analysis (pandas, numpy libraries; requests/BeautifulSoup will be a plus).

- Experience in data visualization (Power BI, Tableau, Superset or Metabase).

- Attention to detail, critical thinking and thoroughness in verifying figures.

- Interest in the automotive market.

We create AI agents that read reports and call transcripts of US public companies and convert the text into structured features for investment analysis. To understand where the agent is right and where it is wrong, we need a person who can read the reports themselves and make judgments. This is the role of the "benchmark analyst": your markup becomes the truth by which we measure the model.

What is important:

• Understanding of financial reporting: P&L, balance sheet, cash flow, key metrics (revenue, margin, ROIC, debt, FCF). You can read a 10-K / 10-Q and a quarterly transcript and identify what is important in the business.
• Understanding of basic equity research concepts: competitive advantage, pricing power, cyclicality, management quality, growth drivers.
• English at the level of reading reports and calls with investors without a dictionary. Internal materials and sources are in English.
• Carefulness and honesty in judgments: you can write "insufficient data" instead of guessing. Each assessment must be tied to a quote from the source.
• Excel / Google Sheets at a confident level.

Will be a plus:

• 3rd–4th year undergraduate or master's student in finance, economics, mathematics; CFA Level 1 / ACCA candidate.
• Personal experience in company analysis: investment club, case championships, your own portfolio, reviews on Smart-Lab / Seeking Alpha / Substack.
• Basic Python or SQL: not required, but will speed up work with data.
• Familiarity with LLM (ChatGPT, Claude) as a working tool.

We are creating AI agents that read reports and transcripts of public companies and convert the text into structured features for investment analysis. We are looking for an intern who can think mathematically and quickly assemble working prototypes using AI tools.

What is important:

• Applied mathematics at a confident level: statistics, probability, linear algebra, basic optimization. You can look at a distribution and tell what's wrong with it.
• Python and experience with "vibe coding": Cursor, Claude Code, Copilot, or similar. You don't write every line by hand, but you understand what has been generated and can verify it.
• Understanding of how LLMs work: prompts, context, structured output, basic ideas of RAG and evals.
• English at the level of reading technical documentation and financial reports.
• Independence: you can break down a task, ask the right questions, and deliver results, not just the process.

Will be a plus:

• Pandas / NumPy, SQL, Git.
• Interest in finance and markets: you understand what revenue, margin, and reporting are.
• Pet projects on LLMs, participation in hackathons, Kaggle.

Hard skills:

• Experience in QA from 2 years
• Experience in testing web applications and APIs (Postman/Swagger)
• Understanding of testing methodologies: test design, prioritization of test cases, regression /smoke/integration testing
• Experience with test case management systems
• Basic knowledge of SQL for data verification in databases, working with databases
• Ability to read technical documentation and specifications
• Experience working with Agile/Scrum
• Reading logs (kibana, kuber, sentry)

What we expect from you:

• Experience in HR analytics from 1 year
• Confident use of Excel
• Understanding of data visualization principles, ability to create clear dashboards
• Attention to detail and carefulness in working with data
• Responsibility and discipline: the work involves a daily regular rhythm
• Literate written and spoken language, communicativeness