Risk Analytics (Risk Management) : Job Level - Associate

AI/ML Model Developer in our New York City office, as an Associate The Risk Analytics team has global responsibility to develop and maintain scenario design, credit, and market models for the management of credit and market risk exposure arising from the Firm's business activities. The group also provides support for internal clients with quantitative analyses and solutions. As part of the Risk Analytics group, the Risk Artificial Intelligence (AI) Applications team is responsible implementing the Firm's Risk Management AI strategy. > Strong proficiency in Python programming > Familiarity with financial models You will have a chance to: > Work as part of an international team > Contribute to high-impact projects > Influence how the global risk analytics team leverages technology > Gain exposure to quantitative risk models and their impact within the Firm > Collaborate with high-performing technology teams in Risk and front office quant-developer teams > Learn about finance, risk management, and operations of a global investment bank We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. Expected base pay rates for the role will be between $85,000 and $140,000 year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. As an AI/ML model developer role in the Risk AI Applications team, you will: > Design and develop AI applications to enhance the Firm's risk management processes and provide new insights for risk managers > Contribute to software development using Python and AI/ML models, focusing on natural language processing (NLP) and Large Language Models (LLMs) like GPT-4 > Collaborate with risk managers, model reviewers, and other stakeholders > Operate as part of a global team You will actively contribute as a hands-on developer while closely collaborating with team. > A graduate degree (master's or Ph.D.) in a quantitative field such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics, Engineering, or equivalent relevant work experience in AI/ML, software engineering, or related fields > Proven track record in computer programming > Familiarity with financial concepts and products. > Demonstrated interest in AI/ML concepts > Exposure to modern development best practices, including unit testing and continuous integration/continuous deployment (CI/CD). > Strategic mindset with strong business acumen and creative problem-solving skills. > Excellent interpersonal and communication skills in both written and verbal English, with the ability to effectively communicate with both technical and non-technical stakeholders