Системный аналитик Tenge Bank

Обязанности:

• самостоятельно разрабатывать и формализовывать методики расчётов для торговых стратегий: правила агрегации таймфреймов, оценку качества рыночных данных, расчёт бенчмарка, торговых метрик, IS/OOS, walk-forward, правила сравнения стратегий и формирования итогового вердикта;
• определять и описывать логику торговых сигналов, индикаторов, риск-менеджмента, размера позиции, условий входа и выхода из позиции;
• формировать требования к бэктестингу торговых стратегий и проверять корректность заложенной в систему торговой и расчётной логики;
• выступать предметным экспертом по алгоритмической торговле для команды разработки;
• участвовать во встречах с заказчиком и технической командой;
• анализировать и уточнять требования заказчика, выявлять противоречия, неоднозначности и недостающие условия в ТЗ;
• тестировать результаты разработки и проверять корректность торговой логики и расчётов.

Требования:

• опыт системного анализа от 3 лет;
• практический опыт в алгоритмической торговле / quantitative trading;
• глубокое понимание построения и тестирования торговых стратегий;
• знание OHLCV, технических индикаторов, торговых сигналов, риск-менеджмента;
• опыт работы с бэктестами, IS/OOS, walk-forward и оценкой стратегий;
• умение самостоятельно формализовывать расчётные методики и переводить их в требования для разработки;
• опыт работы с API, JSON, SQL и проверки корректности реализованной торговой логики и расчётов.

Условия:

• удалённая работа, график 5/2;
• проектная занятость на 2–3 месяца;
• возможные варианты оформления: ГПХ, самозанятость или ИП;
• уровень вознаграждения обсуждается индивидуально по итогам интервью;
• работа над технологическим fintech-проектом на стыке алгоритмической торговли, аналитики и AI;
• высокая самостоятельность и возможность напрямую влиять на требования, расчётную методологию и итоговую реализацию продукта;
• работа в проектной команде с прямым взаимодействием с разработчиками, QA и PM.

Description

🤓 TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.

We're building a program for experienced engineers transitioning into system architecture roles. We need AI Systems Engineering practitioners who can do more than just know their craft — they need to help build the curriculum and turn their expertise into content others can learn from.

This is a content authoring role. You'll start by shaping the program syllabus based on our existing draft, then move into producing lessons using AI-gen tools — following our content guidelines, reviewing the output, and fine-tuning it until it's accurate and teachable. An LX designer will review your content and send comments back; you'll iterate from there. The best candidates are people who are opinionated about what good systems engineering looks like and what engineers need to learn, can spot when something is oversimplified or wrong, and are comfortable working in a structured production process and keeping up with deadlines.

Your audience: experienced engineers looking to level up to system architecture roles. They will spot shallow content instantly.

Format: async-first, project-based, estimated 4-6 months. We expect you to be ready to around 15-20 hrs/week.

Areas of expertise

We will bring on three SMEs, each focused on one of the following areas.

SME A — System Foundations, API & Data

• Module 1 — Foundations of System Engineering (Architecture principles, OpenTelemetry, distributed systems)
• Module 2 — API & Service Architecture (REST, GraphQL, gRPC, service boundaries, DDD)
• Module 3 — Data Architecture & Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching)

SME B — Cloud, Distributed Systems

• Module 4 — Cloud Infrastructure & Platform Engineering (Kubernetes, Terraform, GitOps, CI/CD, FinOps)
• Module 5 — Distributed Systems & Event-Driven Architecture (CAP theorem, event-driven, Kafka, alert routing)

SME C — Security, AI Systems & Architecture Leadership

• Module 6 — Security & Compliance Architecture (Zero-trust, threat modeling, compliance, secure CI/CD)
• Module 7 — AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance)
• Module 8 — Architecture Documentation & Leadership (ADRs, C4 diagrams, technical communication)

Please indicate in your application which area fits you best. If you have overlapping skills, don’t hesitate to apply and indicate it in your application. Submit all resumes or CV's in English.

What you will do

• Review and shape the existing syllabus draft — validate topic sequencing, flag gaps or unrealistic scope, and make sure the content reflects how these systems are actually built in production.
• Define clear learning objectives per topic: what should a student be able to do after this lesson, not just know.
• Produce lessons using AI-gen tools following our content guidelines — then review, fact-check, and fine-tune the output until it's technically sound.
• Design hands-on projects and exercises that are realistic for a working engineer studying 20 hrs/week.
• Write supporting content: project instructions, rubrics, and reviewer guides.
• Respond to LX designer feedback and iterate on content — this is a back-and-forth process, not a one-time handoff.

Requirements

• 5+ years of real-world experience as a Senior Systems Engineer
• Has designed and shipped systems at scale in a real company — not just coursework or side projects
• Can explain why a decision was made, not just how it was implemented
• Strong technical communication skills — ability to explain complex topics clearly to learners
• Comfortable using AI tools for content drafting and iteration
• Strong English C1+ — content will be in English for a US-based audience
• Attention to detail, proactivity and ability to meet deadlines independently

What we can offer you

• Milestone-based payments tied to deliverables
• Fully remote work with flexible hours
• A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth
• Professional trust and autonomy — no micromanaging
• The chance to see real impact: our metric is graduates landing jobs in tech
• Join a diverse, international, and close-knit team excited to work with you

Description

🤓 TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners — people with no prior tech background — through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.

We're launching a program for experienced engineers transitioning into system architecture roles. The curriculum is being built by a team of senior authors. What we need now is the person who brings it to life for students: hosts the live sessions, reviews the work, runs the architecture review boards, and sets the technical bar for the people supporting alongside you.

This is a teaching and review role. You'll be the senior technical presence the cohort learns from week to week. You'll run live sessions and office hours, give real architectural feedback on student deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually designed and shipped systems at scale, has opinions about what good architecture looks like, and can tell an experienced engineer why their design is wrong, not just whether it runs.

Your audience: experienced engineers leveling up to system architecture roles. Many already write production code daily. They will spot shallow feedback instantly, so the bar here is real seniority, not familiarity.

Format: Async-first with scheduled live sessions. Live sessions and office hours are timed around a US-based cohort. Estimated 15 to 25 hrs/week.

Areas of expertise

We will bring on three Experts, each focused on one of the following areas.

Expert A — System Foundations, API & Data

• Module 1 — Foundations of System Engineering (Architecture principles, OpenTelemetry, distributed systems)
• Module 2 — API & Service Architecture (REST, GraphQL, gRPC, service boundaries, DDD)
• Module 3 — Data Architecture & Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching)

Expert B — Cloud, Distributed Systems

• Module 4 — Cloud Infrastructure & Platform Engineering (Kubernetes, Terraform, GitOps, CI/CD, FinOps)
• Module 5 — Distributed Systems & Event-Driven Architecture (CAP theorem, event-driven, Kafka, alert routing)

Expert C — Security, AI Systems & Architecture Leadership

• Module 6 — Security & Compliance Architecture (Zero-trust, threat modeling, compliance, secure CI/CD)
• Module 7 — AI Systems Design & Integration (LLM integration, RAG, ML reliability, AI governance)
• Module 8 — Architecture Documentation & Leadership (ADRs, C4 diagrams, technical communication)

Please indicate in your application which area fits you best. If you have overlapping skills, don’t hesitate to apply and indicate it in your application. Submit all resumes or CV's in English.

What you will do

• Mentor students through 1:1 video calls, Q&A sessions, and group events, helping them clarify concepts and navigate assignments.
• Host webinars and workshops on program topics, industry insights, and extracurricular skills.
• Review and assess student projects, providing clear, constructive feedback aligned with program standards.
• Engage with students on the Hub through written guidance, ongoing communication, and curated learning resources.
• Share professional expertise to equip students with practical skills and career strategies.
• Foster a collaborative learning environment that builds confidence, encourages interaction, and supports student growth.
• Conduct Mock Interviews providing constructive feedback on both their technical responses and interview skills.
• Record instructional videos for the curriculum, clearly explaining key concepts, methodologies, and course topics to support student learning.

Requirements

• 5+ years as a senior software/systems architect, platform engineer, or senior backend/infrastructure engineer
• Has designed and shipped systems at scale in a real company, not just coursework or side projects
• Depth across the architectural spine: system design, API and service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), and distributed systems
• Can explain why a decision was made, not just how it was implemented, and can diagnose and critique someone else's architecture live
• Strong technical communication: comfortable leading a live session and writing clear, specific review feedback
• Strong English C1+ — instruction and review are in English for a US-based audience
• Comfortable using AI tools in day-to-day technical work

What we can offer you

• Milestone-based payments tied to deliverables
• Fully remote work with flexible hours
• A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth
• Professional trust and autonomy — no micromanaging
• The chance to see real impact: our metric is graduates landing jobs in tech
• Join a diverse, international, and close-knit team excited to work with you