Senior Software Engineer - Research Management Systems (Analytics & Reporting)
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (57.0%).
Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
Location
London
Business Area
Engineering and CTO
Ref #
10047571
Description & Requirements
Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission.
The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence-driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners.
About The Role
We’re seeking a Senior Full-Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients.
We'll Trust You To
London
Business Area
Engineering and CTO
Ref #
10047571
Description & Requirements
Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission.
The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence-driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners.
About The Role
We’re seeking a Senior Full-Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients.
We'll Trust You To
- Design and build core components of our analytics platform as part of a team.
- Lead projects and technical decision making.
- Ensure the team adopts best engineering practices across the entire SDLC.
- Collaborate with a broad set of stakeholders including your immediate team, the broader RMS group, other parts of the engineering community, sales, implementations, support, product managers and user experience experts.
- Support and mentor less experienced colleagues as appropriate.
- Embrace an inclusive approach to communication and collaboration.
- Proven experience in software engineering, with a strong background in designing and building distributed systems or data platforms.
- Proficiency in an object-oriented language with a demonstrable ability to write production-quality code.
- Experience with OLTP and OLAP technologies and a demonstrable familiarity with query languages.
- Excellent communication skills and ability to collaborate across interdisciplinary teams in a variety of locations.
- Proficiency in Python, C++ and JavaScript