Analyst, Data Analytics at BlackRock

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, Python, R, Business Intelligence, Power BI, Tableau, Cloud Data Environments, ETL, Text Analytics, Web Scraping, Sentiment Analysis, Project Management, Interpersonal Skills, Communication Skills, Problem-Solving Skills

Industry

Financial Services

Description

About this role Internal Audit’s primary mission is to provide assurance to the Board of Directors and Executive Management that BlackRock’s businesses are well managed and meeting strategic, operational and risk management objectives. The team engages with senior leaders and all of BlackRock’s 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. Data Analytics The Data Analytics (DA) team leverages various data science, business intelligence, and analytical methods to assess BlackRock’s 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 self-service 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. London The London office, located in the heart of the City of London, serves as BlackRock's EMEA headquarters and is home to over 3,200 employees. It plays a crucial role in the firm's global operations, supporting various business units including Investment Management, Sales, Trading, Client Business, Risk Management, Operations, Finance, and Legal and Compliance. Data Analytics Analyst Responsibilities & Qualifications What This Role Offers: Opportunity to influence audit effectiveness through modern data analytics. Exposure to diverse business areas (investments, operations, technology, risk). A learning-driven environment with access to advanced analytics tools and training. Career progression toward senior analysts, data scientist or regional audit DA lead. Role Description: The DA Analyst will engage collaboratively with business & technology teams, internal risk partners and with IT teams to support the goals of Internal Audit. Our DA team is looking for an analytical self-starter, eager to learn new technologies and work with others to deploy and explain them. We value creativity and encourage our team members to challenge the status quo of how audits and audit testing used to be performed. Successful DA team members embrace a fast-paced environment and add value to the performance of audits by working alongside audit teams and by helping to evolve our audit processes, tools and methodologies. Specific responsibilities will include: 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 ad-hoc requests including closure verification of issues, regulatory inquiries, strategic initiatives. Networking to cultivate strong relationships with firm-wide partners to ensure successful analytic activities such as retrieval of new data sets, learning technology architecture, troubleshooting, etc. Qualifications Bachelor’s or Master’s degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field 1–3 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). Hands-on experience in techniques like text analytics, web scraping, Selenium, N-Gram 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 high-quality results and have attention to detail along with analytical and problem-solving skills. Strong interpersonal and communication skills (verbal, written, and listening). Our 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 well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s 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 – 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 well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s 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 – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | : 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.

Responsibilities

The DA Analyst will engage collaboratively with business and technology teams to support Internal Audit goals. Responsibilities include developing code for audit tests, contributing to the DA program, and facilitating discussions with audit stakeholders.