Top Finance Jobs

Supports pricing, margin, collateral haircut, and risk-management processes for cleared financial products. Analyzes market data, derivative valuations, modeled outputs, risk parameters, and pricing irregularities; manages vendor data and entitlements; supports SEC and CFTC regulatory programs; conducts risk analytics and reconciliations; coordinates system enhancements; develops procedures; and assists with member support and team training.

Supports daily market risk monitoring for clearing members, positions, and collateral. Builds Python scripts and reports using large datasets, applies stress-testing methodologies, follows financial markets and assesses portfolio impacts, and assists with research, data pulls, and documentation. Collaborates with quantitative risk and IT teams and presents a summer project. The internship is a 12-week hybrid program for enrolled undergraduate or graduate students.

Develops, validates, implements, and maintains quantitative risk models for derivatives pricing, margin, clearing funds, stress testing, CVA/CCR, volatility, and regulatory capital. Responsibilities include model prototyping, back-testing, documentation, code reviews, quality assurance, production support, and collaboration with risk managers, developers, validators, and business teams. Requires expertise in equity derivatives, financial risk analytics, Basel III, and SR 11-7 governance.

Seasonal Credit Risk Management intern supporting counterparty due diligence, financial statement analysis, watch-level surveillance, risk examinations, management reporting, and special projects. The role provides exposure to counterparty credit risk across clearing members and financial institutions. Interns may assist with data transformation, code reviews, dashboard design, process improvements, and credit rating model support while collaborating with analysts, associates, and senior stakeholders.

Direct quantitative risk management for margin, clearing fund, stress testing, pricing, and derivatives models. Lead model development, validation remediation, performance monitoring, backtesting, volatility simulation enhancements, and new product assessments. Manage financial engineers and model developers, partner with technology, compliance, and validation teams, support production implementation, and present technical findings to leadership and regulators.

Supports quantitative risk management through development, testing, monitoring, and improvement of financial risk models used for margin, clearing fund sizing, and stress testing. Projects may include evaluating model assumptions, creating sensitivity metrics, researching advanced methodologies for equity price and volatility modeling, and improving Python code libraries. The intern collaborates with quantitative researchers, model validation teams, technology staff, and business stakeholders.

Supports quantitative risk management through model specification, impact analysis, P&L decomposition, backtesting exceedance attribution, performance monitoring, annual validation, and parameter review. The intern works with quantitative analysts on model development, monitoring, and research involving derivatives, stochastic calculus, statistics, econometrics, machine learning, and financial risk models.

Supports quantitative risk model performance monitoring through portfolio backtesting, metric implementation, documentation, analytics, and automation. Develops Python and Pandas scripts, writes SQL queries, assists with data analysis and visualization, participates in code reviews, and supports monitoring enhancements for new products and regulatory governance activities.

Supports internal audit and validation engagements through audit planning, fieldwork, control testing, process walkthrough documentation, findings documentation, and reporting. The intern reviews business-provided support, participates in meetings, and coordinates with engagement leads and supervisors. Assignments may cover cybersecurity and information technology audit areas.

Supports internal audit and validation engagements involving financial risk management and model risk management. Responsibilities include audit planning, fieldwork, control testing, process walkthrough documentation, assessing control design and operating effectiveness, documenting findings, reviewing business support, attending meetings, and coordinating with engagement leads and supervisors.