Manage data incident triage with key stakeholders.
Act as a liaison between technical and non-technical stakeholders, translating complex data concepts into actionable insights.
Provide SME knowledge and interface with various technology, quantitative, and business groups, representing providers and consumers of GM’s data.
Deliver insights from large datasets, design data solutions, and communicate solutions to stakeholders.
Strong ability to conceptualize business requirements as functions and data models.
Required Skills:
Bachelor's degree or equivalent work experience.
High intensity and initiative – thrives in a fast-paced, high-stakes environment.
Curious and analytical mindset – proactive in exploring new ways to improve and optimize data processes.
Strong analytical and relentless problem-solving skills, critical thinking.
In depth knowledge of one or more areas within GM or related functions.
Knowledge of financial markets, traded products, trade life cycle management and market conventions.
Ability to facilitate discussions across various levels of stakeholders.
Ability to multitask and properly prioritize multiple projects.
Good communication, interpersonal, and organizational skills.
Proficiency in Python (Pandas, NumPy) for data processing and automation.
Strong SQL skills, with experience in relational databases (PostgreSQL, SQL Server, Oracle) and NoSQL databases.
Desired Skills:
Knowledge of the various functions within GM trading organization and other functions interacting with GM, such as Operations, Market Risk, Counterparty Credit Risk Finance.
Knowledge of General Ledger and Chart of Accounts.
Knowledge / understanding of trading agreements.
Knowledge of big data frameworks (Hadoop, Spark, Kafka).
Understanding of API integrations, data lakes, and real-time data streaming architectures.