• Strong knowledge of Python 3.10+

• Experience developing REST API on FastAPI or Django/DRF

• Experience working with PostgreSQL via SQLAlchemy / Django ORM

• Understanding relationships between entities, transactions, and basic SQL query optimization

• Understanding JWT authorization, roles, and Access rights system

• Experience writing unit and integration tests, preferably with pytest

• Confident work with Git: branches, Pull Request, Code Review

• Understanding the principles of writing clean and maintainable code

• Experience working with Celery / RabbitMQ

• Experience using Redis for caching

• Working with OpenAPI / Swagger

• Experience in developing administrative interfaces on Django Admin or proprietary solutions

• Experience using black, isort, flake8 / ruff

• Introduction to mypy and Python typing

• Experience working with structured logs and a single API error format

Middle-level commercial development experience of 2-3 years. Proficiency in Go (Golang) and JavaScript. Practical experience working with relational databases and writing complex SQL queries. Understanding the principles of microservice architecture and DevOps tools (Docker, Kubernetes, etc.). Experience writing scripts (including Lua) will be a big plus. Responsibility, independence, and willingness to work with enterprise-level products.

​- Linux OS (server and client);

- Containerization systems (Docker);

- Confident Shell Scripting (Bash) skills;

- Continious Integration ( Jenkins) \ Continious Delivery;

- Monitoring systems (Zabbix);

- Version Control Systems (GIT);

- Web servers and load balancers (Apache\nginx\haproxy). Basic expertise in the fields of:- Windows OS (server-side);

- Virtualization systems (Vmware), management systems (Vcenter \ Openstack);

- Configuration Management Systems (Ansible \ Chef \ Puppet \ SaltStack);

- Relational databases (SQL Server \ Postgre \ Mysql);

- Agile development;

- Information security;

- Architecture of information systems.

НАШИ ОЖИДАНИЯ ОТ КАНДИДАТА

• Релевантный опыт: Опыт работы финансовым аналитиком или на аналогичной позиции не менее 3 лет.
• Hard Skills: Знание финансового анализа, бюджетирования, финансового моделирования и прогнозирования; знание валютного законодательства Республики Казахстан; уверенное владение MS Office и 1С.
• Языки: Казахский и русский языки — грамотное устное и письменное владение.
• Личные качества: Коммуникабельность, стрессоустойчивость, развитое аналитическое мышление, быстрота мышления и обработки информации, оперативность, внимательность к деталям и умение работать с большими объемами данных.

You are our ideal candidate if:

• I have at least 5 years of experience in a similar position.

• You understand basic financial terminology and understand the glossary of the financial sector.

• You speak English with confidence (orally and in writing).

• You know how to work with AI agents and tools.

• You confidently manage document management (protocols, MOM, business correspondence) and have a well-developed time management.

• You are proactive, you know how to anticipate the needs of your supervisor and work ahead of the curve.

• Stress-resistant, able to work in conditions of multitasking and tight deadlines.

• Experience in the fintech/banking sector will be a plus.

You are our ideal candidate if:

• I have at least 2 years of commercial experience as a DWH/Data Engineer.
• You understand the principles of building DWH (Kimball/Inmon, star schema, ETL/ELT).
• You have a confident command of SQL and are able to optimize complex queries.
• I have experience working with Kafka (topics, partitioning, producers/consumers).
• I have experience working with Clickhouse (schema design, partitioning, and materialized views).
• You can confidently work with the stack: Kafka, Clickhouse, PostgreSQL/MySQL, Grafana, Prometheus, Docker, Airflow (or other ETL tools), Python or Java/Scala.

A plus would be: experience in generating and transmitting data to credit bureaus (GKB/PKB).

Project Stack:

• Kafka, Clickhouse;
• PostgreSQL, MySQL;
• Infrastructure — Docker, Grafana, Prometheus, Consul, Vault, Kibana, ELK;
• Airflow;
• Testing — JUnit, Mockito;
• Build — Gradle, Maven.

• Knowledge of SQL (PL/SQL, PostgreSQL): writing simple queries
• Understanding the principles of intersystem integrations (REST, SOAP, message queues)
• Knowledge of modeling tools: UML, BPMN, ER diagrams
• Knowledge of Jira and Confluence tools
• Higher education (technical/economic/mathematical)
• The ability to structure and plan your own work

The main focus is Web/API and Offensive Security.Experience in Mobile Security, Cloud Security, AppSec, IoT/embedded/firmware, security research, bug bounty will be an advantage. At the same time, we are not looking for a person who necessarily closes all these areas equally deeply.

Requirements:

• Work experience of at least 3 years as a product manager of credit products
• Full-cycle product experience: from idea to launch
• Experience of cross-functional interaction: with the risk department, IT, legal unit, marketing, etc.
• Experience working in an Agile/Scrum environment: creating a roadmap, managing a backlog, setting and prioritizing tasks.
• Experience in calculating the unit economy
• Confident analytical skills

Requirements:

• Business impact metrics: % of approvals, loss rate, ROI from model implementation, portfolio quality in 6-12 months
• Operational efficiency: automation of processes (STP%), reduction of manual review, optimization of resources and costs
• Responsibility for the quality and sustainability of models in the product: uplift to business metrics (percentage of approvals with stable NPL, fraud reduction, LTV/conversion growth) with transparent attribution of the effect
• Regular reports on stability, drift, calibration, and feature impact, a retraining plan, and an A/B calendar
• 5+ years in a bank/MFI with a focus on credit risk or related areas
• Experience in successfully implementing at least 2-3 models in production with a measurable business impact
• Mathematics and statistics: regressions, feature selection, calibration, metrics of binary/regression models, the scorecard approach. experiment design
• ML/DL stack: boosters (LightGBM/CatBoost/XGBoost), linear/logistic models, trees/RF
• Languages and tools: advanced Python + ecosystem (pandas, numpy, scikit‑learn, shap), SQL for storefronts and complex jobs, basic code optimization skills
• Production and MLOps: quality/drift monitoring, A/B infrastructure, participation in implementation and support in productivity
• Customer/partner skills: task validation, formulation of KPIs/success metrics, clear communication with risk/product/IT
• Clear objectives, code review, team support and development, responsibility for results and deadlines
• Process thinking: understanding end-to-end loan processes from application to collection, integrating models into workflow business
• Business orientation: the ability to explain complex things in simple language and defend solutions in discussions