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- Tasks: Support data risk management and governance in a global asset management firm.
- Company: Join a leading global asset management business focused on data capabilities.
- Benefits: Enjoy a competitive salary, attractive bonuses, and comprehensive benefits.
- Why this job: Be part of a dynamic team enhancing data governance and making a real impact.
- Qualifications: 5-7 years in Banking or Asset Management with strong data governance knowledge required.
- Other info: Ideal for innovative thinkers eager to tackle complex data challenges.
The predicted salary is between 80000 - 120000 £ per year.
Job Title: Data Risk & Governance Analyst Reporting to: Head of Data Risk & Governance Salary: £100K – £110K attractive bonus and benefits Purpose of role: Join a leading global asset management business as a Data Risk & Governance Analyst. Support the data risk and governance team in managing all aspects of data risks and governance. Your primary focus will be on establishing and strengthening the data risk framework to enable Asset Management to mature, demonstrate data capabilities, and mitigate data risks effectively. Key Responsibilities: Implement a comprehensive data management framework covering data ownership, data sources, data quality, data usage, and records management. Actively identify data risks where data does not conform to our data policy, while enhancing data governance practices. Engage in all business-as-usual activities, ensuring a hands-on approach to managing data risks and governance. Work closely with Audit, Risk, Business teams, IT, and change programs to support data roles in understanding their responsibilities and implementing data requirements using standardized approaches. Principal Accountabilities: Applying data policies and standards: Deploy data governance standards and provide oversight on existing data governance activities. Embed data target operating model across Asset Management. Deploy data governance standards and oversee existing data governance activities. Data Risk Assessments: Support business teams to assess their use of data and ensure the right level of controls are applied for the consistency and integrity of data to meet business need and mitigate data risks. Oversee and report on the outputs of Data risk assessments. Risk and Control Self-Assessment Process Work closely with 2nd line to ensure RCSA processes are embedded for Data Risk. Ensure 1st line data controls are identified, measured, monitored and managed and reported as part of the LGIM Risk and Control Self-Assessment framework. Data Audit Maintain a collaborative relationship with Audit (3rd line of defence) and ensure data related Audit Actions are completed to agreed timescales. Experience, knowledge and interpersonal skills: Experience & Knowledge 5 – 7 years’ relevant experience in Banking or Asset Management Must have detailed understanding of data governance and data risk and controls. Experience of writing data governance related standards, guidance and processes. Excellent understanding and practical experience of implementing data governance across multiple stakeholders and roles. Specific experience of data ownership, identification of approved data sources and critical data elements. Must have experience of working in a data governance business as usual (BAU) environment. Collaborative approach to working with data operational teams, developers, architects and subject matter experts alike, to establish the facts, and ensure good communication of requirements. Excellent communication skills to articulate data and the associated benefits to a non-expert audience. Highly organised and Innovative SME able to deliver in a large matrix organisation. Experience in running workshops with different business and technical stakeholders. Must be able to handle complex and difficult queries or situations. Relationship and stakeholder management with experience of working professionally with a diverse group of stakeholders, managers, and subject. matter experts, building positive and productive relationships. Experience of working in an Agile environment with agile development. capabilities and toolsets – Jira and Confluence. Demonstrate accountability and ability to adapt and move quickly, against a deadline/changing deadline while maintaining quality. Desirable Skills Skills in data analysis (understanding macros, scripts, queries to profile data and determine its data quality). Knowledge of data privacy concepts and implications for Data Governance. Interpersonal Skills A vibrant personality with a genuine and personal interest in data related business and technology current affairs. Excited and motivated to work in \’Data\’ and able to evangelise the benefits of taking a data led approach to creating business value. Proven resilience to project challenges and adjustments to direction and scope – a positive and open approach to life with a delivery mindset. Pro-active contributor, willingly take ownership, self-manage, and self-start on allocated activities. Experience of managing stakeholders and working in a highly flexible and collaborative team environment. Structured and methodological approach to problem solving. Ability to confidently present information and engage with a wide range of people and backgrounds. Commercially and strategically astute. A desire to succeed and provide value to the organisation. If you think this is the role for you, please apply now!41bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Risk & Governance Analyst employer: psd group
Contact Detail:
psd group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Risk & Governance Analyst
✨Tip Number 1
Familiarise yourself with the latest data governance frameworks and standards. Being able to discuss these in detail during your interview will show that you are proactive and knowledgeable about the field.
✨Tip Number 2
Network with professionals in the asset management and banking sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the current challenges they face in data risk and governance.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented data governance practices in previous roles. Highlighting your hands-on experience will demonstrate your capability to manage data risks effectively.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data concepts to non-experts. This is crucial for the role, as you'll need to engage with various stakeholders across the organisation.
We think you need these skills to ace Data Risk & Governance Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance and risk management. Use specific examples from your past roles that demonstrate your understanding of data policies, standards, and frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the key responsibilities outlined in the job description, particularly your experience in implementing data governance practices.
Showcase Relevant Skills: Emphasise your experience with data analysis tools and methodologies, as well as your ability to communicate complex data concepts to non-expert audiences. Highlight any experience you have working in Agile environments, as this is a desirable skill for the role.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Risk & Governance Analyst.
How to prepare for a job interview at psd group
✨Understand Data Governance Fundamentals
Make sure you have a solid grasp of data governance principles and practices. Be prepared to discuss how you've implemented data governance frameworks in previous roles, as this will demonstrate your expertise and relevance to the position.
✨Showcase Your Risk Assessment Experience
Highlight your experience with data risk assessments during the interview. Be ready to provide examples of how you've identified data risks and applied controls to mitigate them, as this is a key responsibility of the role.
✨Communicate Clearly and Effectively
Since the role requires engaging with various stakeholders, practice articulating complex data concepts in simple terms. This will show your ability to communicate effectively with non-expert audiences, which is crucial for success in this position.
✨Demonstrate Your Collaborative Approach
Prepare to discuss instances where you've worked collaboratively with cross-functional teams. Emphasise your ability to build positive relationships and manage diverse stakeholders, as this will be important for implementing data governance standards across the organisation.
