CW BNEF in London

The CW will focus on maintaining operational continuity across core data workflows while we transition work through automation and operating model improvements over the approved 24-month engagement period.

Key areas of support include:

• Vendor escalation management and manual data updates
• Dataset quality control and validation (including vendor QC oversight)
• Root cause analysis and troubleshooting of data discrepancies
• Vendor training and guidance to improve delivery quality
• Customer support for dataset users (via ADSK)

We will request CVs and conduct interviews as soon as possible. Start date is ASAP preferred. Minimum office requirement is 4 days per week.

Required:

• Office-based during training period (5 days per week)
• Remote work capability with reliable WiFi connectivity when required
• Own laptop or PC
• Strong Excel skills
• Intermediate financial/data handling knowledge

Not Required:

• Coding knowledge (e.g. Python) – no advanced technical skills required

Role Context & Expectations:

This role will involve a significant portion of data quality, validation, and operational support work, including repetitive data processing tasks. The CW will play a key role in stabilizing workflows while longer-term solutions (automation and operating model changes) are implemented. There is a defined transition path, with work expected to reduce over time through:

• Automation via as-reported-data (ARD) processing and STP pipelines
• Use of LLM-based extraction tools (LLM Studio) for structured data capture

Skills Required:

• Strong attention to detail when validating and updating datasets
• Proficiency in Excel (data manipulation and analysis)
• Ability to perform quality control checks and identify discrepancies
• Problem-solving skills for troubleshooting and root cause analysis
• Ability to learn quickly and adapt to evolving processes
• Comfort handling repetitive, process-driven tasks with high accuracy
• Ownership mindset – follow tasks through to resolution
• Clear communication with vendors and cross-functional teams
• Ability to provide structured feedback and training to vendors
• Interest in data operations, process improvement, and automation

Candidates will need to have:

• A degree (or expected within one year) in Business, Finance, Data, or a related field
• Fluency in English

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process.