At a Glance
- Tasks: Join a leading investment bank as a Senior Data Analyst, focusing on market risk and trade data.
- Company: Work with a top-tier investment bank based in Belfast, known for its innovative financial solutions.
- Benefits: Enjoy flexible working options with at least 3 days a week on-site in London.
- Why this job: Be part of a dynamic team driving impactful data quality improvements in a fast-paced environment.
- Qualifications: 10+ years of experience in data analysis, business analysis, and UAT testing required.
- Other info: Ideal for self-starters who thrive in complex, global organisations.
The predicted salary is between 54000 - 84000 £ per year.
Senior Data Analyst - Market Risk, Trade Data sought by leading investment bank based in Belfast.
Inside IR35 - Min 3 days a week on site in London
The bank is looking for a seasoned business analyst with experience and knowledge in trade population control framework and data quality controls within the 1LoD/2LoD.
Primary Responsibilities:
- Support the Program Initiative lead(s) to drive execution of the Price Risk Data regulatory book of work through to business adoption.
- Support control enhancements related to trade population completeness, critical data element (CDE) data quality validations.
- Assist with the definition of 1LoD controls to improve data quality and other monitoring controls.
- Document business requirements to enable the implementation of 1LoD preventative and detective controls.
- Perform control gap assessments and identify enhancements needed.
- Understand the data quality issues aligned with that data set including end to end data flows and controls and ensure these are addressed in the defined target state solution with robust controls.
- Support strategy execution against the designed target-state control-framework for Price Risk, including business analysis, data analysis, practical testing and implementation.
- Monitor and oversight over trade and CDE data controls, including data quality metrics.
- Support in driving standardized and consistent mechanisms to evidence controls and supervision, and ensure alignment with longer term infrastructure initiatives.
- Lead/participate in working groups/scrums with stakeholders and technology partners to manage the delivery within the agreed timeline(s).
- Identify Risks & Issues and proactively seek to resolve or escalate them in a timely and well-articulated manner.
- Produce accurate and insightful project update materials and artifacts, tailoring to various forums and committees.
- Support the business through UAT, E2E and production parallel testing.
- Assist in ensuring that all target state tools, processes and controls are socialized effectively.
Key Skills:
- Candidates must have demonstrable 10+ years' experience as a data analyst, some business analysis, business requirement documentation, implementation and UAT testing, through to business adoption.
- Robust understanding of data analysis, extracting and manipulating data.
- Significant experience with designing and monitoring key controls in a trading environment.
- Business analysis and change management expertise in delivering complex solutions are essential (preferably including proficiency with project management tools such as JIRA, MS Project).
- Strong controls mindset, identifying and mitigating risks, communicating and escalating concerns.
- Strong relevant industry experience within the Financial Industry, in particular within the 1LoD/2LoD.
- Self-starting with proven ability to hit the ground running.
- Excellent oral and written communications skills; must be articulate and persuasive with the judgement and authority to provide insightful commentary to senior stakeholders.
- Ability to handle complexity, ambiguity and a fast changing, often demanding work environment.
- Ability to drive change to business practices by working effectively across a global organization.
- Demonstrated analytical skills with follow-up and problem solving capability.
- Build strong relationships, adopting a joined-up approach, to support the execution of project.
- Familiarity with Agile methodologies/principles and their application in a large scale transformation.
Preferred Skills:
- Experience within Risk functions, understanding credit and/or market risk.
- Presentation skills using tools such as PowerPoint.
- Bachelor's/University degree, Master's degree preferred.
- Project Management, Business Analysis certifications e.g. PMP, ISEB or equivalent a strong plus.
Please apply within for further details or call on Alex Reeder at Harvey Nash Finance & Banking.
Senior Data Analyst - Market Risk, Tableau, Trade Data employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Market Risk, Tableau, Trade Data
✨Tip Number 1
Familiarise yourself with the specific data quality controls and frameworks used in the financial industry, particularly within the 1LoD/2LoD. This knowledge will help you demonstrate your understanding of the role's requirements during interviews.
✨Tip Number 2
Network with professionals in the investment banking sector, especially those who work in market risk or data analysis. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with tools like Tableau and project management software such as JIRA or MS Project. Being able to articulate how you've used these tools in past roles will set you apart from other candidates.
✨Tip Number 4
Showcase your ability to handle complexity and ambiguity by preparing examples from your previous work where you successfully navigated challenging situations. This will highlight your problem-solving skills and adaptability, which are crucial for this role.
We think you need these skills to ace Senior Data Analyst - Market Risk, Tableau, Trade Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience as a data analyst, focusing on relevant skills such as data analysis, business requirement documentation, and UAT testing. Use keywords from the job description to align your experience with the role.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of trade population control frameworks and data quality controls. Mention specific examples of how you've driven change in previous roles, particularly in a trading environment.
Showcase Relevant Skills: Highlight your proficiency with project management tools like JIRA and MS Project, as well as your familiarity with Agile methodologies. Provide concrete examples of how you've applied these skills in past projects.
Prepare for Potential Questions: Anticipate questions related to your experience with risk functions and your ability to handle complexity in a fast-paced environment. Be ready to discuss how you've identified and mitigated risks in previous roles.
How to prepare for a job interview at Harvey Nash
✨Showcase Your Data Expertise
Make sure to highlight your extensive experience in data analysis, especially in the context of trade data and market risk. Be prepared to discuss specific projects where you've successfully implemented data quality controls and how you approached complex data challenges.
✨Demonstrate Your Control Mindset
Since the role requires a strong focus on controls, be ready to provide examples of how you've identified and mitigated risks in previous positions. Discuss your experience with designing and monitoring key controls in a trading environment to show that you understand the importance of data integrity.
✨Communicate Effectively
Your ability to articulate complex ideas clearly is crucial. Practice explaining your past experiences and technical concepts in a way that is accessible to non-technical stakeholders. This will demonstrate your strong communication skills, which are essential for engaging with senior management.
✨Prepare for Agile Discussions
Familiarity with Agile methodologies is preferred for this role. Be ready to discuss how you've applied Agile principles in your previous work, particularly in large-scale transformations. Highlight any experience you have working in cross-functional teams or leading scrums to showcase your collaborative approach.