Job description
Position: Quantitative Data Analyst /Engineer
Reporting to: Head of Quantitative Research
Function: Development
Company Overview
Confluence is a global technology solutions provider delivering innovative products to the worldwide money management industry, to meet asset managers and service providers performance, reporting, analytics, risk and data needs. With the recent acquisition of StatPro, Confluence offers its clients a broader range of data-driven managed investment solutions including post-trade regulatory and shareholder reporting, performance and attribution, portfolio analytics, and asset data services and data management, delivering a full technology suite to the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 400 clients in 39 countries, with locations across Europe, North America, South Africa, Australia and Asia.
Role Purpose
We are looking for a Quantitative Data Analyst / Engineer to join our team working on our world-class, multi-asset portfolio risk reporting platform.
This is a great opportunity to join a successful Quantitative Team and to contribute towards the development of the risk management system. The successful candidate is expected to demonstrate a high degree of analytical skills, attention to details and be passionate about data.
Primary Responsibilities
- Market data analysis
- Vendor data feeds
- Data Quality checks
- Process automation
Essential Requirements:
- Excellent SQL and Python
- Strong analytical and problem-solving abilities
- Experience with financial data
Preferred Requirements:
- AWS, Airflow
Personality:
- Resilience
- Attention to details
- Can take responsibility
- Eager to innovate
We are committed to providing equal opportunities regardless of age, gender, religion or ethnic origin and we give full and fair consideration to the employment and career development of disabled persons, commensurate with their aptitudes and abilities.
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