Channels / CY iT HR
CY iT HR
@cyprusithr · supergroup
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Julia Moon
📎 Webpage (not supported)
#Vacancy #Удаленно #DataAnalyst #Finance #Fintech #Crypto #Remote #Payments #Reporting #SQL #dbt**
**
**Senior Data Analyst (Finance & Regulatory Reporting)
Company: Utorg | Full-time, 100% Remote
**
About the Role:
We are looking for a detail-obsessed Data Analyst who turns raw transactional and ledger data into auditable, regulatory-grade reports. You will be the analytical backbone for Finance and Compliance teams in a fast-moving crypto-fintech environment.
**What you will do:
**Build and maintain finance and regulatory dashboards using SQL and BI tools.
Perform deterministic reconciliations between ledgers, payment processors and custody systems.
Prepare datasets and documentation for regulatory submissions.
Automate reporting workflows to reduce manual effort and operational risk.
Partner with Finance, Compliance and Data Engineering to turn requirements into analytics.
Stack you will work with:
Primary language: SQL (advanced — window functions, CTEs, complex joins, procedural scripting)
BI / Reporting tools: Looker, Tableau or Power BI
Transformation layer: dbt (data build tool)
Orchestration: Airflow or Prefect
Warehouses: Snowflake / BigQuery / Redshift
Scripting / Automation: Python (pandas, data validation scripts, ETL automation)
Data formats: JSON, CSV, Parquet
Nice to have: Kafka / Kinesis for event-level analysis; Spark for large-scale data processing
Must-haves:
5+ years in data analysis, finance analytics or regulatory reporting in payments, fintech or banking.
Strong SQL; hands-on experience with at least one major BI tool listed above.
Solid understanding of GL concepts, reconciliations, cut-offs and basic accounting principles.
English B2+ and fluent Russian.
**Nice to have:
**Background in crypto payments, custody reconciliation or AML analytics.
Familiarity with CTR/STR or similar regulatory reporting workflows.
Degree in Finance, Accounting, Mathematics or Computer Science.
**Benefits:
**Work from anywhere in the world.
Competitive salary with performance-based reviews.
Clear career path into senior analytics, data engineering or cross-functional roles.
Please apply with a CV and a short note describing a challenge you led, your role and the technical approach you took: https://utorg.teamtailor.com/jobs/7479378-senior-data-analyst-finance-regulatory-reporting
**
**Senior Data Analyst (Finance & Regulatory Reporting)
Company: Utorg | Full-time, 100% Remote
**
About the Role:
We are looking for a detail-obsessed Data Analyst who turns raw transactional and ledger data into auditable, regulatory-grade reports. You will be the analytical backbone for Finance and Compliance teams in a fast-moving crypto-fintech environment.
**What you will do:
**Build and maintain finance and regulatory dashboards using SQL and BI tools.
Perform deterministic reconciliations between ledgers, payment processors and custody systems.
Prepare datasets and documentation for regulatory submissions.
Automate reporting workflows to reduce manual effort and operational risk.
Partner with Finance, Compliance and Data Engineering to turn requirements into analytics.
Stack you will work with:
Primary language: SQL (advanced — window functions, CTEs, complex joins, procedural scripting)
BI / Reporting tools: Looker, Tableau or Power BI
Transformation layer: dbt (data build tool)
Orchestration: Airflow or Prefect
Warehouses: Snowflake / BigQuery / Redshift
Scripting / Automation: Python (pandas, data validation scripts, ETL automation)
Data formats: JSON, CSV, Parquet
Nice to have: Kafka / Kinesis for event-level analysis; Spark for large-scale data processing
Must-haves:
5+ years in data analysis, finance analytics or regulatory reporting in payments, fintech or banking.
Strong SQL; hands-on experience with at least one major BI tool listed above.
Solid understanding of GL concepts, reconciliations, cut-offs and basic accounting principles.
English B2+ and fluent Russian.
**Nice to have:
**Background in crypto payments, custody reconciliation or AML analytics.
Familiarity with CTR/STR or similar regulatory reporting workflows.
Degree in Finance, Accounting, Mathematics or Computer Science.
**Benefits:
**Work from anywhere in the world.
Competitive salary with performance-based reviews.
Clear career path into senior analytics, data engineering or cross-functional roles.
Please apply with a CV and a short note describing a challenge you led, your role and the technical approach you took: https://utorg.teamtailor.com/jobs/7479378-senior-data-analyst-finance-regulatory-reporting
📎 Webpage (not supported)
#Vacancy #Удаленно #DataEngineer #Finance #Fintech #Crypto #Remote #Payments #dbt #Airflow #Kafka #Spark #Snowflake
**Senior Data Engineer (Finance & Regulatory Reporting)
Company: Utorg | Work format: Full-time, 100% Remote
**
About the Role:
We are looking for a hands-on Senior Data Engineer to design and own the pipelines that power financial close, regulatory reporting and reconciliation at Utorg - a regulated crypto-fintech bridging traditional finance and blockchain.
What you will do:
Design and implement ETL/ELT pipelines ingesting transaction, ledger and reference data from internal systems and external providers.
Build deterministic reconciliation processes and exception workflows for accounting and regulatory reporting.
Define canonical finance data models; maintain schemas (Parquet / Avro / JSON).
Implement data quality checks, lineage tracking and automated pipeline tests.
Optimise pipelines for cloud cost and runtime performance.
Support audits and regulatory submissions with auditable, traceable data.
Stack you will work with:
Orchestration: Apache Airflow or Prefect
Transformation: dbt (data build tool)
Processing: Apache Spark
Warehouses: Snowflake / BigQuery / Redshift
Streaming: Apache Kafka or AWS Kinesis
Serialization formats: Parquet, Avro, JSON
Cloud: AWS, GCP or Azure (containerisation, scalable processing patterns)
Languages: SQL (advanced), Python
DevOps: CI/CD for data deployments, schema registry, metadata cataloguing
**Must-haves:
**5+ years in data engineering with significant exposure to finance or regulatory reporting in fintech/payments.
Strong SQL and data transformation skills across the full modern data stack listed above.
Practical knowledge of RBAC, encryption and audit requirements in regulated environments.
English B2+ and fluent Russian.
Nice to have:
Familiarity with GL concepts, reconciliations, accruals and payments regulatory regimes.
Experience with KYC/AML data pipelines or crypto custody reconciliation.
**Benefits:
**Work from anywhere in the world.
Competitive salary with performance-based reviews.
Ownership of mission-critical data infrastructure where accuracy is non-negotiable.
Please apply with a CV and a short note describing a data pipeline or data platform challenge you led — what the problem was, your specific role, the decisions you made and the measurable outcome: https://utorg.teamtailor.com/jobs/7465940-senior-data-engineer-finance-regulatory-reporting
**Senior Data Engineer (Finance & Regulatory Reporting)
Company: Utorg | Work format: Full-time, 100% Remote
**
About the Role:
We are looking for a hands-on Senior Data Engineer to design and own the pipelines that power financial close, regulatory reporting and reconciliation at Utorg - a regulated crypto-fintech bridging traditional finance and blockchain.
What you will do:
Design and implement ETL/ELT pipelines ingesting transaction, ledger and reference data from internal systems and external providers.
Build deterministic reconciliation processes and exception workflows for accounting and regulatory reporting.
Define canonical finance data models; maintain schemas (Parquet / Avro / JSON).
Implement data quality checks, lineage tracking and automated pipeline tests.
Optimise pipelines for cloud cost and runtime performance.
Support audits and regulatory submissions with auditable, traceable data.
Stack you will work with:
Orchestration: Apache Airflow or Prefect
Transformation: dbt (data build tool)
Processing: Apache Spark
Warehouses: Snowflake / BigQuery / Redshift
Streaming: Apache Kafka or AWS Kinesis
Serialization formats: Parquet, Avro, JSON
Cloud: AWS, GCP or Azure (containerisation, scalable processing patterns)
Languages: SQL (advanced), Python
DevOps: CI/CD for data deployments, schema registry, metadata cataloguing
**Must-haves:
**5+ years in data engineering with significant exposure to finance or regulatory reporting in fintech/payments.
Strong SQL and data transformation skills across the full modern data stack listed above.
Practical knowledge of RBAC, encryption and audit requirements in regulated environments.
English B2+ and fluent Russian.
Nice to have:
Familiarity with GL concepts, reconciliations, accruals and payments regulatory regimes.
Experience with KYC/AML data pipelines or crypto custody reconciliation.
**Benefits:
**Work from anywhere in the world.
Competitive salary with performance-based reviews.
Ownership of mission-critical data infrastructure where accuracy is non-negotiable.
Please apply with a CV and a short note describing a data pipeline or data platform challenge you led — what the problem was, your specific role, the decisions you made and the measurable outcome: https://utorg.teamtailor.com/jobs/7465940-senior-data-engineer-finance-regulatory-reporting
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