At a Glance
- Tasks: Influence audit effectiveness using modern data analytics and collaborate with diverse teams.
- Company: Join BlackRock, a leading global investment firm focused on financial well-being.
- Benefits: Enjoy flexible time off, education reimbursement, and comprehensive health resources.
- Why this job: Make a real impact in a fast-paced environment while developing your analytical skills.
- Qualifications: Degree in data analytics or related field; strong SQL and programming skills required.
- Other info: Hybrid work model promotes collaboration and accelerates your learning experience.
The predicted salary is between 28800 - 48000 £ per year.
Internal Auditās primary mission is to provide assurance to the Board of Directors and Executive Management that BlackRockās businesses are well managed and meeting strategic, operational and risk management objectives. The team engages with senior leaders and all of BlackRockās individual business units globally to understand and advise on the risks in their business, evaluate the effectiveness of key processes and assist in the design of best practices that can improve their results. Internal Audit reports directly to the Audit Committee of the Board of Directors, and our work builds confidence that BlackRock will meet its obligations to clients, shareholders, employees and other stakeholders.
The Data Analytics (DA) team leverages various data science, business intelligence, and analytical methods to assess BlackRockās control environment. DA team members may design and perform certain testing as part of audits of BlackRock business units and technology controls across application systems and infrastructure components. The DA team is also responsible for building and maintaining an inventory of selfāservice tools for the auditors, supporting the risk assessment of auditable units for the annual planning process, and assisting the development of timely and accurate Internal Audit management information.
The London office, located in the heart of the City of London, serves as BlackRockās EMEA headquarters and is home to over 3,200 employees. It plays a crucial role in the firmās global operations, supporting various business units including Investment Management, Sales, Trading, Client Business, Risk Management, Operations, Finance, and Legal and Compliance.
Responsibilities:
- Develop code to execute audit tests, build tools, and/or execute data centric activities supporting the department and ensure that all code is properly documented and maintained.
- Contribute to the strategic development of the DA program including the design and implementation of tools and technologies, development, delivery, and distribution of data analytics presentations, training, and methodology.
- Propose alternative and creative approaches to audit testing, leveraging technology to either gain efficiencies or provide additional coverage.
- Facilitate discussions with audit stakeholders and demonstrate quick understanding of risk, controls and the data analytics solutions that can be offered to support audit objectives.
- Participate in short term data analysis activities aimed at supporting audit delivery and/or other adāhoc requests including closure verification of issues, regulatory inquiries, strategic initiatives.
- Networking to cultivate strong relationships with firmāwide partners to ensure successful analytic activities such as retrieval of new data sets, learning technology architecture, troubleshooting, etc.
Qualifications:
- Bachelor's or Masterās degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field.
- 1ā3 years of experience in data analytics and/or audit, risk management function, preferably within the wealth management/asset management/banking industry.
- Strong SQL skills required, along with programming experience in Python or R, experience of any other scripting languages (VBA, PowerShell, etc.).
- Working experience of any Business Intelligence tool (Power BI, Tableau) is preferred.
- Experience with both structured and unstructured data as well as familiarity with cloud data environments (AWS, Azure, GCP, Snowflake), Extract Transform and Load (ETL).
- Handsāon experience in techniques like text analytics, web scraping, Selenium, NāGram analysis, Sentiment Analysis, etc. is preferred.
- This professional needs to have a strong understanding/ability to quickly learn of business processes, risks, and controls to enhance audit efficiencies and effectiveness through the development and delivery of audit data analytics.
- Awareness of development life cycle and tools like Azure Dev Ops and JIRA.
- Team player with project management skills, delivered timely highāquality results and have attention to detail along with analytical and problemāsolving skills.
- Strong interpersonal and communication skills (verbal, written, and listening).
Benefits:
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional wellābeing; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Hybrid Work Model:
BlackRockās hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person ā aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock:
At BlackRock, we are all connected by one mission: to help more and more people experience financial wellābeing. Our clients, and the people they serve, are saving for retirement, paying for their childrenās educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment ā the one we make in our employees. Itās why weāre dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
Associate, Data Analytics in London employer: Blaxkrock
Contact Detail:
Blaxkrock Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Associate, Data Analytics in London
āØTip Number 1
Networking is key! Get out there and connect with professionals in the data analytics field. Attend industry events, join relevant online forums, and donāt be shy about reaching out on LinkedIn. The more people you know, the better your chances of landing that dream job!
āØTip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. Whether itās a personal project or something from your previous work, having tangible examples of your abilities can really impress potential employers. Plus, it gives you something to talk about during interviews!
āØTip Number 3
Prepare for interviews by brushing up on common data analytics questions and scenarios. Practice explaining your thought process and how you approach problem-solving. Remember, they want to see how you think, so be ready to showcase your analytical mindset!
āØTip Number 4
Donāt forget to apply through our website! Weāve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows youāre genuinely interested in being part of our team at StudySmarter!
We think you need these skills to ace Associate, Data Analytics in London
Some tips for your application š«”
Tailor Your Application: Make sure to customise your CV and cover letter for the Associate, Data Analytics role. Highlight your relevant skills in data analytics, SQL, and programming languages like Python or R. We want to see how your experience aligns with our mission at BlackRock!
Show Off Your Analytical Skills: In your application, donāt just list your skillsādemonstrate them! Use examples from your past experiences where youāve successfully applied data analytics to solve problems or improve processes. This will help us see your potential impact on our team.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to understand your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to submit your application through our website. Itās the best way to ensure your application gets into the right hands. Plus, youāll find all the details about the role and our company culture there!
How to prepare for a job interview at Blaxkrock
āØKnow Your Data Analytics Tools
Familiarise yourself with the specific data analytics tools mentioned in the job description, like SQL, Python, and any Business Intelligence tools such as Power BI or Tableau. Be ready to discuss your experience with these tools and how you've used them in past projects.
āØUnderstand the Audit Process
Brush up on the internal audit process and how data analytics can enhance it. Be prepared to share examples of how you've contributed to audit effectiveness in previous roles, and think about creative approaches you could propose during the interview.
āØShowcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data analytics or audit roles and how you overcame them. Highlight your analytical thinking and problem-solving skills, as these are crucial for the Associate role.
āØEngage with the Interviewers
During the interview, ask insightful questions about the teamās current projects and how they leverage data analytics. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.