JOB  DETAILS

About the role

We are looking for a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen our trading strategies.

Working with real-time data pipelines built on Kafka, RabbitMQ, and ClickHouse, you will help ensure that P&L reporting and trading analytics are accurate, timely, and actionable. Positioned at the intersection of engineering and finance, this role requires strong technical and analytical capabilities, along with a solid understanding of financial markets.

Responsibility

• Develop and maintain automated PnL reporting frameworks that pull from real-time data streams.
• Conduct deep-dive trading analytics to identify execution patterns, slippage, and market impact.
• Write and optimise complex SQL queries in ClickHouse to handle large-scale financial datasets efficiently.
• Collaborate with stakeholders to define and implement key performance indicators (KPIs) for various trading desks.
• Monitor data quality and integrity across the pipeline to ensure financial reporting remains compliant and accurate.
• Use Python to build robust data processing scripts that automate repetitive analytical tasks.
• Design data models and schemas that specifically support high-frequency reporting and business objectives.

Must have

• University degree in Finance, Economics, Computer Science, or a related quantitative field.
• Prior experience working within the finance or fintech industry, with an understanding of financial instruments or trading data.
• Advanced SQL knowledge and experience with OLAP databases like ClickHouse.
• Strong programming skills in Python for data manipulation and automation tasks.
• Experience with data visualisation tools to represent real-time data effectively.
• Ability to convey technical findings clearly to both technical and non-technical stakeholders.
• Detail-oriented mindset with a focus on data accuracy and compliance with governance policies.

Nice to have

• Exposure to ClickHouse (or another columnar/OLAP store — Druid, BigQuery, Snowflake)
• Airflow or similar orchestration; dbt; Git-based workflows
• BI tooling (Superset, Metabase, Power BI, Grafana)

Benefits

• Competitive salary and performance-based bonuses.
• Opportunities for career growth and development within a global company.
• Collaborative and inclusive work environment with exposure to cross-region operations.
• Health and wellness benefits.
• Flexible working arrangements.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#DesignFintech #GlobalDesigners

#FintechInnovation #CreativeJobs

#DesignHub

#Tech Meets Design

#DesignerNetwork

#Myausjob