Data Engineer Associate
Summary
Data Engineer Associate joining Cavendish's Business Intelligence team in London, designing data management processes and building/tuning machine-learning models to support business development and analytics. Core toolkit includes Python/R, SQL and Power BI, with a focus on financial markets data.
Data Engineer Associate
Job Title
London, City
Location
Business Intelligence
Department
Marketing Business Intelligence Director
Reporting Manager
40 hours per week, Monday to Friday
Hours
Permanent
Contract Type
Cavendish is a leading UK champion for ambitious growth and investment companies. Trusted by both public and private businesses across a wide range of industry sectors, the Group provides expert services in equity capital markets, M&A, debt advisory, and growth capital. With offices in London, Edinburgh, Manchester, and Birmingham, Cavendish combines strong regional presence with global reach through its membership of Oaklins. Cavendish plc is listed on AIM.
Job Overview
This role is within the Business Intelligence function focussed on leveraging machine-learning tools and techniques to augment both our business development capability and our broader data and analytics framework. You will be working closely with practitioners from a range of business functions on a variety of use cases which are sponsored by our Executive Committee.
Main Tasks
The successful candidate will need to:
- Develop an in-depth understanding of how our various business units work.
- Evaluate and prioritise a growing portfolio of tasks based on technical feasibility, implementation complexity, and business impact.
- Design and implement robust and efficient data management processes.
- Design, implement and finetune machine learning algorithms and models.
- Collaborate with business intelligence and IT colleagues on engineering solutions.
- Develop and regularly present to management on the “AI roadmap”
- Stay updated with industry trends, proposing innovative solutions.
- Ensure data security and compliance.
Qualifications, Skills & competencies required:
- Degree in sciences, maths or engineering.
- Experience with at least one of Python, R, SQL, Power BI or related modelling libraries and frameworks.
- Working knowledge of various machine learning techniques.
- Strong analytical and problem-solving skills.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- An interest in financial markets.
- Highly organised.
Values
- To uphold Cavendish’s values: smart thinking, collegiate, dynamic
Compliance
- Maintain a high standard of conduct, ethical standards and values, including the strictest
- confidentiality
- Work within the Regulatory and the Firm’s compliance framework
- Work to identify risks and enhance control across the business
- Report control weaknesses, illegal, suspicious or unusual activity
- Maintain own professional competence through a programme of CPD
This job description is not exclusive or exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope of the role.