At a Glance
- Tasks: Leverage machine learning to enhance business intelligence and data analytics.
- Company: Cavendish, a leading UK firm in growth and investment services.
- Benefits: Permanent role with competitive salary and opportunities for professional development.
- Other info: Collaborative environment with a focus on smart thinking and ethical standards.
- Why this job: Join a dynamic team and make an impact in the financial sector with innovative tech.
- Qualifications: Degree in sciences, maths or engineering; experience with Python, R, SQL, or Power BI.
The predicted salary is between 63000 - 77000 £ per year.
- 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.
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Data Engineer Associate employer: Cavendish Capital Markets Limited
Cavendish Capital Markets Limited is an exceptional employer located in the vibrant city of London, offering a dynamic work environment that fosters collaboration and innovation. Employees benefit from comprehensive training and development opportunities, ensuring personal and professional growth while working alongside a dedicated team that values excellence and integrity. With a focus on supporting 168 corporate clients, this role provides a unique chance to engage in meaningful projects that directly impact the financial landscape.
Contact Details:
Cavendish Capital Markets Limited Recruitment Team
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