Quantitative Risk Analyst in the Private Wealth Investment Risk team.
Compensation
The salary range for this role is $95,000-$110,000.
Responsibilities
Work as an integral part of the Private Wealth Investment Risk team, taking up day-to-day coverage of several of the strategies/portfolio management teams
Maintain and run regular and ad hoc reports; provide support to various teams on risk and performance analytics issues
Translate academic and/or buy-side research into risk models, analytics, and methodologies that are implementable and actionable
Perform ex-ante and ex-post portfolio risk analysis, performance and attribution analysis, stress tests, and back tests
Stay connected and current with academic finance research and developments and present findings to team members
Requirements
Bachelor’s or master’s Degree in a quantitative field like Financial Engineering, Econometrics, Computer Science, Applied Mathematics, Statistics, or similar
Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts for a major branch of the Armed Forces.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Envision
Nice to have: workforce modeling
Nice to have: human capital analytics
Nice to have: federal or Department of War environments
Nice to have: military personnel or readiness data
Design, develop, test, deploy, and maintain scalable data pipelines using Databricks and related technologies.
Responsibilities
Design, develop, test, deploy, optimize, and support complex, scalable, production-grade data pipelines using Databricks and related data engineering technologies.
Develop robust ETL/ELT solutions to ingest, transform, integrate, and deliver data across cloud and enterprise environments.
Design reusable and maintainable data integration patterns leveraging Databricks, Apache Spark/PySpark, Python, SQL, Delta Lake, APIs, and other appropriate technologies.
Design and maintain efficient data models, data structures, and storage solutions.
Implement data quality, validation, reconciliation, monitoring, and error-handling processes to ensure reliable and accurate data delivery.
Requirements
Bachelor's degree in computer science, Information Systems, Engineering, Data Engineering, or a related field, or equivalent professional experience
Support the installation, operation, maintenance, and continuous improvement of secure IT monitoring infrastructure within a highly regulated and security-sensitive environment.
Locations (5)
Berlin, Germany
Bonn, North Rhine-Westphalia, Germany
Potsdam, Brandenburg, Germany
Neubrandenburg, Mecklenburg-Vorpommern, Germany
Munich, Bavaria, Germany
Compensation
Competitive Compensation: We value our employees and offer an attractive compensation package that reflects your qualifications, experience, and performance.
Gather and analyze information across multiple data sources to arrive at actionable recommendations across many different areas of business, including operations, and technology
Locations (3)
Chicago, Illinois, United States
London, England, United Kingdom
Singapore, Singapore
Compensation
The annual base salary range for this position is $125,000 to $200,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.
Responsibilities
Gather and analyze information across multiple data sources to arrive at actionable recommendations across many different areas of business, including operations, and technology
Assist BD and management to execute on strategic growth opportunities, including economic model design and evaluation for strategic partnerships
Work cross-functionally to understand feasibility of new business initiatives and design processes to support
Work closely with product managers and engineers to design, develop and deliver best-in-class technology solutions that deliver meaningful business value
Conduct market research and gather user feedback to identify user needs, market trends, and competitive landscape
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