The Core Engineering - Software Engineer - Analyst

Goldman Sachs

Birmingham, United Kingdom

Who this role is best for

A natural match if you have experience in financial risk analytics and Python/SQL development.

Best fit for

Candidates with a background in financial risk analytics and a history of building systematic workflows
— “building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics”
Individuals who can communicate complex risk insights to leadership and regulators
— “communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite”
Professionals with a quantitative degree and experience in ETL operations with Python and SQL
— “Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis”

Things to consider

The role requires a deep understanding of financial markets and products
— “Working knowledge of the financial industry, markets and products and associated non-financial risk”

How to stand out

Highlight your ability to translate complex risk data into actionable insights for leadership
— “delivering regular and reliable risk metrics, analytics & insights based on deep understanding”
Demonstrate experience in creating end-to-end risk reporting workflows
— “building robust, systematic & efficient workflows, processes and procedures”
Showcase your data visualization and BI tool proficiency with concrete examples
— “experience in developing data visualization and business intelligence solutions”
Emphasize your background in statistical modeling and numerical algorithms
— “working knowledge of mathematics including statistics, time series analysis and numerical algorithms”
Demonstrate your ability to ensure data quality and completeness in analytics production
— “attesting to the quality, timeliness and completeness of the underlying data”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

delivering reliable risk metrics and analytics
building robust workflows for risk analytics

Typical background

quantitative discipline degreefinancial or regulatory experience

Skills & requirements

Required

PythonSQLETL OperationsData AnalysisData Visualization

Preferred

RJavaC++TableauAlteryxPowerbi

Stack & domain

PythonSQLETL OperationsData AnalysisPerformance OptimizationRJavaC++TableauAlteryxPowerbiFront-end TechnologiesCommunicationTeamworkTrainingSafetyFinancialRegulatoryConsultingRisk ManagementRisk MetricsRisk AnalyticsRisk CapitalRegulatory ReportingData VisualizationBusiness IntelligenceFinancial IndustryMarketsProductsNon-financial RiskStatisticsTime Series AnalysisNumerical Algorithms

About the role

Original posting from Goldman Sachs

Market Risk Analytics & Reporting (A&R) is a group within Core Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s market risk profile allowing them to take actionable and timely risk management decisions.
Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.
Role Responsibilities
A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk.
A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:
Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities.
Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.
Qualifications, Skills & Aptitude
Eligible candidates are preferred to have the following:
Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.1-3 years of experience, preferably in financial, regulatory or consulting environmentEntrepreneurial, analytically creative, self-motivated and team-oriented.Excellent written, verbal and team-oriented communication skills.Working knowledge of the financial industry, markets and products and associated non-financial risk.Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial.Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
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 several 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 accommodation for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Source: Goldman Sachs careers