Operational Risk Transformation Specialist

We are seeking a highly skilled Operational Risk Transformation Specialist to join our team at Goldman Sachs. As a key member of our Corporate Planning and Management team, you will play a critical role in designing and delivering key operational risk frameworks for the firm.

Responsibilities:

• Develop ETL processes to integrate data from various sources into a centralized data warehouse to provide a comprehensive view of operational and third-party risk across the firm.
• Use digital analytics and automation tools to analyze data to identify patterns, trends, and anomalies that may indicate potential risks.
• Use predictive modeling techniques to forecast future risks and potential impacts on the business.
• Collaborate with different functions and stakeholders to understand the specific risk management needs, define key risk metrics, and key performance indicators and build reporting solutions to equip the business to action/mitigate the risk.
• Use BI tools to develop interactive dashboards to visualize key risk indicators and performance metrics.
• Implementing systems for continuous monitoring of key risk indicators and updating risk profiles in real time.
• Design and manage data warehouse solution to support reporting and analytics needs.
• Administering and optimizing databases to ensure efficient data storage, retrieval, and processing.
• Develop and maintain data models; create entity relationship diagrams for databases.
• Develop and implement scenario modeling techniques to simulate the impact of different risk scenarios.

Requirements:

• Bachelor's or master's degree in analytics/data science (or) any math/statistics/quant background, or Bachelor's degree in Information Technology or Computer Science with proven experience in data engineering/business intelligence tools especially strong understanding of database concepts and data modeling.
• Minimum 2 years of experience as Business Intelligence Specialist or Data Scientist or Risk Management/Reporting Analyst or Risk Modeling Analyst.
• Strong understanding of ETL processes, data integration, data quality framework and ability to design and implement efficient data pipelines. Data Science, Analytics and Automation tools/platforms: Alteryx (preferred), RapidMiner, Informatica, Qliksense or similar
• Ability to create interactive and insightful visualization dashboards for risk reporting. Visualization Tools: Tableau (preferred), Qlikview, PowerBI
• Programming languages: Python (Intermediate)
• Scripting skills for automation and data manipulation (., shell scripting)
• Proficiency working with relational databases on-prem (Microsoft SQL server, MySQL, PostgreSQL) and cloud (Snowflake)
• Database design: Experience in designing and optimizing database schemas and working with OLTP & OLAP structures. Experience optimizing database structures for performance and reliability.
• Data Modeling: Expertise in data mining and implementing scalable and efficient Data Models. Experience building conceptual, logical, and physical data models.
• Familiarity with data warehousing concepts and experience designing, building, and maintaining data warehouses to facilitate efficient querying and reporting. Experience optimizing data warehouse performance through indexing, partitioning and other techniques.
• Data Quality: Understanding of data quality best practices and experience in implementing data governance principles.
• Data Security: Experience implementing security measures to protect sensitive data and ensure compliance with data protection regulations.
• Understanding of Risk Management principles and methodologies. Experience in creating risk models to identify, assess and quantify potential risks.

Preferred Qualifications:

• Experience working in a Third-Party Risk Management function within a Financial Services Industry.
• Familiarity with cloud platforms such as AWS, Google Cloud or Azure
• Certifications: Relevant certifications in database technologies (., Certified Data Professional), ETL Tools (., Alteryx Core and Advance certified) and BI Platforms (., Tableau desktop specialist)
• Software Development Kits (SDKs): In depth understanding of the SDKs relevant to the BI Tools used. This includes understanding of SDK documentation, APIs, Web Services and how to leverage them to extend or customize BI functionalities.
• Familiarity with big data technologies such as Hadoop, Spark etc.
• Proficiency in programming language: Java

Competencies:

• Functional Expertise: Keeps up to date with emerging business, economic, market trends, risk factors and regulatory frameworks.
• Technical Skills: Demonstrates strong technical skills required for the role, attention to detail, takes initiative to broaden their knowledge and demonstrates appropriate analytical and risk management skills.
• Analytical Skills: Presents sound, persuasive rationale for ideas or opinions. Takes a position on issues and influences others' opinions with persuasive recommendations. Able to independently challenge ORR program stakeholders using data to drive business outcomes.
• Drive and Motivation: Successfully handles multiple tasks, takes initiative to improve their own performance, works intensely towards extremely challenging goals, and persists in the face of obstacles or setbacks to drive collaborative execution.
• Client and Business Focus: Effectively handles difficult requests, builds trusting and long-term relationships with clients, helps clients to identify/define needs, and manages client/business expectations.
• Teamwork: Acts as a strong team player, collaborates with others within and across global teams, encourages other team members to participate and contribute, and acknowledges others' contributions
• Communication: Communicates what is relevant and important in a clear and concise manner and shares information/new ideas with others. Able to clearly articulate observations and linked recommendations
• Judgment and Problem Solving: Thinks ahead, anticipates questions, plans for contingencies, finds alternative solutions, and identifies clear objectives. Sees the big picture and effectively analyses complex issues.

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. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at /careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.