Front Office BI - Data Quant

JR United Kingdom; Slough; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading Global Investment House is seeking an experienced Data Science and Analytics Manager to lead the Quantitative Analytics team within the Corporate Finance department. This pivotal role involves driving automation, enhancing operational effectiveness, and implementing innovative strategies to optimize performance and reporting. The successful candidate will possess expertise in relevant data analysis tools and will be responsible for mentoring team members while fostering a culture of continuous improvement.

Qualifications

• Experience in a managerial role within Data Science and Analytics.
• Proficient in data analysis tools such as Python and SQL.
• Strong understanding of data architecture and reporting.

Responsibilities

• Lead the Quantitative Analytics team, driving digitization and automation.
• Develop data-driven strategies for performance optimization.
• Mentor team members and enhance their professional development.

Skills

Data Analysis

Process Improvement

Automation

Collaboration

Tools

Power BI

Python

SQL

Snowflake

Job description

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Our client, a leading Global Investment House, is seeking an experienced Data Science and Analytics Manager to lead the Quantitative Analytics team within the Performance and Reporting division of the Corporate Finance department. The role involves driving automation, enhancing operational effectiveness and efficiency, and leading best practice and disruptive business transformation initiatives.

Main Duties and Responsibilities:

1. Lead and manage the Quantitative Analytics team, driving digitization, automation, and process improvements.
2. Develop and implement data-driven strategies to optimize performance and reporting.
3. Utilize Power BI, Snowflake, Python, and SQL databases to analyze and report on financial data.
4. Understand Data architecture, including how data is collected, stored, managed, and utilized within an organization for optimal Data Access and Analytics.
5. Automate processes to increase operational efficiency and support timely decision-making across the department.
6. Collaborate with stakeholders to understand business needs and translate them into actionable insights.
7. Ensure accurate and efficient reporting of financial performance and metrics.
8. Drive business change and transformation initiatives, fostering an agile and innovative culture.
9. Mentor and develop team members, promoting continuous learning and professional growth.