Company Introduction
At BID Operations, we are passionate about supporting our clients in their journey towards success. Our mission is to empower you to thrive by handling the essential yet time-consuming aspects of your business operations, allowing you to concentrate on strategic growth and innovation.
About the role
The Data Analyst will be responsible for transforming high-velocity data into the financial narratives that drive our trading strategies. By navigating our real-time pipelines—built on Kafka, RabbitMQ, and ClickHouse—you will ensure that PnL reports and trading analytics are accurate, timely, and insightful. This role sits at the intersection of engineering and finance, requiring a blend of technical analysis and market understanding.
Job Responsibilities
- 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.
Requirements
- 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 commensurate with experience.
- Opportunities for professional development and career advancement.
- Collaborative and supportive work environment.
- Flexibility in smart casual dress code.
Skills Required
- University degree in Finance, Economics, Computer Science, or a related quantitative field
- Prior experience in finance or fintech, with knowledge of financial instruments or trading data
- Advanced SQL knowledge and experience with OLAP databases such as ClickHouse
- Strong Python programming skills for data manipulation and automation
- Experience with data visualization tools
- Ability to communicate technical findings to technical and non-technical stakeholders
- Detail-oriented approach to data accuracy and governance compliance
- Exposure to ClickHouse or another columnar/OLAP store such as Druid, BigQuery, or Snowflake
- Experience with Airflow or similar orchestration tools, dbt, and Git-based workflows
- Experience with BI tools such as Superset, Metabase, Power BI, or Grafana
What We Do
BID Operations provides comprehensive technology, customer services, accounting & operations, and risk & compliance services to support client business growth. Their mission is to empower clients by handling essential business operations, allowing them to focus on strategic growth and innovation through expert-driven technology and streamlined solutions.
