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- Tasks: Analyze data, develop ETL processes, and create dashboards to visualize key risk indicators.
- Company: Goldman Sachs is a leading global investment banking and securities firm committed to diversity and inclusion.
- Benefits: Gain experience in a high-risk environment with opportunities for professional growth and collaboration.
- Why this job: Join a dynamic team focused on operational risk and resilience, making a real impact in the financial sector.
- Qualifications: Graduate or undergraduate degree in relevant fields; 4+ years in data analytics; strong problem-solving skills.
- Other info: Work closely with global teams and engage with senior professionals in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Corporate Planning & Management – Operational Risk & Resilience – Data Analytics & Reporting – Associate/ Senior Analyst
Location: Birmingham, West Midlands, England, United Kingdom
Opportunity Overview:
Corporate Title: Associate
Job Function: Risk Governance
Division: Corporate Planning & Management
DIVISIONAL OVERVIEW
The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third-party risk management, and governance strategies across the firm. CPM has 5 operating pillars:
- Finance & Planning: Supports the execution of the firm’s strategic objectives through the management of the planning process, firmwide reporting and analytics, and insights into the firm’s business plans and budgets.
- Spend Management: Encompasses the functions responsible for managing all aspects of the firm’s spend with third-parties.
- Operational Risk & Resilience (ORR): Drives firmwide Operational Risk programs and implements required changes within CPM.
- Corporate Insurance & Advisory: Identifies, procures, and manages corporate insurance needs for the firm.
- CPM Engineering: Provides engineering solutions that enable the firm to manage third-party spend, data, and automation.
ROLE OVERVIEW
Professionals in CPM have an analytical mindset, exhibit intellectual curiosity, and are from diverse academic backgrounds. This role sits within the Operational Risk & Resilience team.
The role requires collaboration with different functions across the firm, independence, and interaction with senior professionals. It entails in-depth data analysis and producing reports for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts and should have excellent verbal and written communication skills.
JOB RESPONSIBILITIES WILL INCLUDE, BUT ARE NOT LIMITED TO:
- Develop ETL (Extract, Transform and Load) processes to integrate data from various sources into a centralized data warehouse.
- Analyse data to identify patterns, trends, and anomalies that may indicate potential risks.
- Utilise BI tools to develop interactive dashboards to visualize key risk indicators and performance metrics.
- Identify potential areas to create operational efficiencies and automate manual processes.
- Partner with engineering teams to develop scalable business processes and data pipelines.
- Manage prioritization and stakeholder engagement to maximize delivery towards established business goals.
QUALIFICATIONS
- Graduate or Undergraduate degree in Computer Science, Statistics, Math, Engineering or related field.
- Minimum of 4 years of experience in Business Intelligence / Data Analytics.
- Analytical, self-motivated, detail-oriented with strong problem-solving skills.
- Ability to communicate clearly with end users, development managers, and other stakeholders.
- Ability to work within a high-risk environment and meet challenging deadlines.
- Proficient in database query languages (such as SQL) and Data Visualization (e.g., Tableau, QlikSense).
- Proficient in prescriptive analytics using tools such as Alteryx.
- Experience with multi-dimensional data modeling/data warehousing for data analytics and reporting.
PREFERRED QUALIFICATIONS
- Experience working in a Third-Party Risk Management function within the Financial Services Industry.
- Data governance and modeling experience.
- Experience in gathering and documenting requirements with full testing traceability.
- Experience in predictive analytics using tools such as Alteryx, Python, or R.
- Certifications in database technologies (e.g., Certified Data Professional) and ETL Tools (e.g., Alteryx Core and Advance certified).
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm.
We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our workplace and beyond.
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Corporate Planning & Management – Operational Risk & Resilience – Data Analytics & Reporting – [...] employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Corporate Planning & Management – Operational Risk & Resilience – Data Analytics & Reporting – [...]
✨Tip Number 1
Familiarize yourself with the specific BI tools mentioned in the job description, like Tableau and QlikSense. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your SQL skills, as proficiency in database query languages is crucial for this role. Consider working on personal projects or online courses that focus on data extraction and manipulation to showcase your capabilities.
✨Tip Number 3
Network with professionals in the Operational Risk & Resilience field. Engaging with industry experts can provide insights into the role and may even lead to referrals, which can significantly enhance your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and data modeling during the interview. Be ready to share specific examples of how you've integrated data from various sources and the impact it had on decision-making.
We think you need these skills to ace Corporate Planning & Management – Operational Risk & Resilience – Data Analytics & Reporting – [...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, operational risk, and resilience. Emphasize your proficiency in SQL, BI tools, and any experience with ETL processes.
Craft a Strong Cover Letter: In your cover letter, express your analytical mindset and intellectual curiosity. Mention specific examples of how you've used data to identify risks or improve processes in previous roles.
Showcase Communication Skills: Since the role requires excellent verbal and written communication skills, provide examples in your application that demonstrate your ability to communicate complex data insights clearly to stakeholders.
Highlight Relevant Qualifications: Ensure you mention your educational background and any certifications related to data analytics, database technologies, or ETL tools. This will help you stand out as a qualified candidate.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Show Your Analytical Skills
Since the role requires a strong analytical mindset, be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight any experience with ETL processes or BI tools like Tableau and QlikSense.
✨Demonstrate Communication Skills
Effective communication is key in this position. Practice explaining complex data findings in simple terms, as you may need to present your insights to senior management and stakeholders who may not have a technical background.
✨Highlight Collaboration Experience
This role involves working closely with various teams. Be ready to share examples of successful collaborations, especially in high-pressure environments, and how you managed stakeholder engagement to achieve business goals.
✨Prepare for Technical Questions
Expect questions related to database query languages like SQL and your experience with data visualization tools. Brush up on your technical knowledge and be ready to discuss how you've applied these skills in real-world scenarios.
