About the company
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.
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)
Conditions
- Competitive salary commensurate with experience.
- Opportunities for professional development and career advancement.
- Collaborative and supportive work environment.
- Flexibility in smart casual dress code.