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Risk - Analytics & Reporting - Associate - BirminghamGoldman SachsBirmingham, England, United Kingdom

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Risk - Analytics & Reporting - Associate - Birmingham

Goldman Sachs
  • GB
    Birmingham, England, United Kingdom
  • GB
    Birmingham, England, United Kingdom

À propos

Overview
The Goldman Sachs Group, Inc. is a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and high-net-worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong, Bengaluru and other major financial centers around the world. Role Description
Risk Engineering (RE) is part of the Risk Division and is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including New York, Dallas, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. Analytics & Reporting (A&R) is responsible for reviewing, publishing, interpreting and communicating the firm’s independent and authoritative risk and capital measures. This includes understanding financial and non-financial risk by analyzing risk and capital metrics to evaluate, explain and justify features and emerging trends observed in the Firm’s risk data. Role Summary
We are seeking a candidate to join the A&R – Capital and Financial Reporting team. The successful candidate will be an integral part of a pan-risk team responsible for the calculation and analysis of capital metrics and stress test results, with a focus on the delivery of operational risk components of the Comprehensive Capital Analysis and Review (CCAR) exercise and the calculation of Operational Risk Weighted Assets (RWA). Supporting the end-to-end CCAR operational risk loss projection process, including communicating timelines and facilitating review and challenge to achieve timely completion of a key regulatory deliverable Calculating, analyzing and reporting on Operational RWA results Liaising with groups such as Modelers/Strats, Controllers, Enterprise Risk, trading and investing businesses, Legal, Compliance, Model Risk Management and the firm’s Insurance group to gather inputs and communicate insights Interacting with Operational Risk specialists in domains such as cyber risk and algorithmic trading risk Identifying areas of potential improvement and interpreting the results of sensitivity analysis Working with Engineers to develop, test and integrate enhanced workflows to deliver automation, maximize efficiency, improve control and enhance the results’ timeliness and accuracy Preparing materials for the firm’s internal governing bodies such as Risk Committees and executive members of the firm What We Look For
The role is ideal for collaborative individuals who have sound technical skills, financial risk acumen, strong ethics, and attention to detail. OPPORTUNITIES
Work in a dynamic and highly creative teamwork and consensus-oriented environment Exposure to industry-leading market data, pricing and risk and capital models for all activities the Firm engages in Exposure to challenging quantitative problems and large volumes of data (Big Data) and the tools and techniques to interact with, and determine meaningful interpretations of, such data Development of economic, financial product and market knowledge Skills And Relevant Experience
Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering Experience of risk measurement, operational risk management and/or the delivery of regulatory projects involving multiple stakeholders Excellent written and verbal communication skills Entrepreneurial, creative, self-motivated and team-orientated Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation and productivity tools for cultivating insights into risk and capital metric data Experience with, or keen interest to develop expertise in, pricing, risk and capital models Experience with, or keen interest to develop expertise in, financial markets and economics 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 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 GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Seniority level
Associate Employment type
Full-time Job function
Research, Analyst, and Information Technology
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  • Birmingham, England, United Kingdom

Compétences linguistiques

  • English
Avis aux utilisateurs

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