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- Tasks: Join our Risk Market Data team to ensure top-notch data quality and governance.
- Company: A leading investment bank focused on innovative financial solutions.
- Benefits: Enjoy flexible working options and a dynamic corporate culture.
- Why this job: Be a key player in enhancing data governance and making a real impact.
- Qualifications: Experience in finance data, coding skills in Python and SQL, and strong project management abilities.
- Other info: This is a contract role with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
Our investment banking client is seeking an experienced data quality control and governance expert to join the Risk Market Data team. The main focus of this position is data quality operation and control activities across market risk and counterparty risk. This role serves as a subject matter expert and supports execution of a risk market data control program. This role is accountable for the daily risk data quality control and ongoing reporting, including implementation of a data control report framework and ongoing monitoring and remediation of any identified areas of weaknesses.
Core Responsibilities:
- Acting as the SME and liaising with front office, technology, and market and credit risk managers, and vendors to improve data governance framework at our client.
- Responsible for carrying out the required control processes to support the data governance framework.
- Act as second line of Defense to challenge and oversight controls framework set up by 1LoD.
- Defining Golden source of market data.
- Support control implementation in the target infrastructure (requirements, UAT testing…)
- Defining data standards, metrics, and measurement reporting approaches.
- Policy documentation.
Qualifications:
- Experience in market and finance data with a large financial institution.
- Experience in financial time series modeling and management.
- Data quality business process improvement experience.
- Experience in complex regulatory projects.
- Strong technical understanding of data architecture, data quality, market risk, counterparty risk, derivative trade data and related technologies from a data quality management perspective.
Skills:
- Excellent presentation and communication skills with direct experience working with senior management and regulators.
- Strong coding skills. Proficient in Python, SQL and other tools related to data engineering.
- Strong complex project management skills.
- Experience identifying financial data quality problems and performing root cause analysis, and formulating potential solutions.
- Ability to partner and collaborate with individuals at all levels in the organization.
Risk Data Methodology Consultant (Contract) employer: LevelUP HCS
Contact Detail:
LevelUP HCS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Methodology Consultant (Contract)
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and quality control within the financial sector. Understanding the specific challenges faced by investment banks can help you speak knowledgeably during interviews.
✨Tip Number 2
Network with professionals in the risk management and data quality fields. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Brush up on your technical skills, especially in Python and SQL. Being able to demonstrate your coding abilities in practical scenarios during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved data quality processes in previous roles. Having concrete instances ready will showcase your expertise and problem-solving skills effectively.
We think you need these skills to ace Risk Data Methodology Consultant (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data quality control and governance, particularly within investment banking. Emphasise your expertise in market risk and counterparty risk, as well as any specific projects that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the role and how your background makes you a suitable candidate. Mention your experience with financial time series modelling and your technical skills in Python and SQL, as these are crucial for the position.
Showcase Your Communication Skills: Since excellent presentation and communication skills are essential, consider including examples of how you've effectively communicated complex data issues to senior management or regulators in previous roles.
Highlight Project Management Experience: Detail your project management experience, especially in complex regulatory projects. Provide specific examples of how you've managed data quality improvement initiatives and the outcomes achieved.
How to prepare for a job interview at LevelUP HCS
✨Showcase Your Subject Matter Expertise
Make sure to highlight your experience in data quality control and governance during the interview. Be prepared to discuss specific examples where you've acted as a subject matter expert, particularly in liaising with various teams like front office and risk managers.
✨Demonstrate Technical Proficiency
Since strong coding skills are essential for this role, be ready to discuss your proficiency in Python, SQL, and any other relevant tools. You might even want to prepare for technical questions or scenarios that test your data engineering knowledge.
✨Prepare for Complex Problem-Solving
Expect questions that assess your ability to identify financial data quality problems and perform root cause analysis. Think of past experiences where you formulated solutions to complex issues, as this will demonstrate your analytical skills.
✨Communicate Effectively with Senior Management
Given the importance of communication skills in this role, practice articulating your thoughts clearly and confidently. Prepare to discuss how you've successfully presented to senior management or regulators in the past, showcasing your ability to convey complex information simply.
