Senior Financial Risk Analyst

Remote Full-time
## What you'll work on:
Building models to predict financial and credit exposures, as well as preparing periodic reports for management summarizing key findings.
Developing and implementing policies and procedures to monitor and manage financial, credit, and liquidity risk for Circle’s products and services.
Collecting and evaluating data to prepare models.
Developing analysis and framework related to regulatory initiatives.
Innovating ways to identify key risks & concentrations and implementing processes to actively monitor these risks.
Preparing reports for senior management and regulatory authorities.
Building deep and trusted partnerships with teams across Circle to shape decision making.
Working closely with business to underwrite external counterparties.

## You will aspire to our four core values:
Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
Mindful - you seek to be respectful, an active listener and to pay attention to detail.
Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.
High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance.

## What you’ll bring to Circle:
4+ years of experience in Treasury, Capital Markets, or Risk Modeling.
Bachelor’s degree in quantitative discipline, economics, or closely related field required, Master’s degree preferred.
Knowledge of market activities including investment portfolios, collateral management, liquidity risk, credit assessment, and regulatory frameworks for banks.
Strong understanding of risk, liquidity, and financial products. Understanding of alternative investments and hedge funds preferred.
Understanding of financial accounting, specifically as it relates to credit risk.
Experience working with and synthesizing large data sets.
Strong understanding of statistics required.
Experience with R, Python, or SQL preferred.
Experience with econometrics modeling is preferred.
Proven ability to build strong collaborative working relationships with business partners and executives.
An enthusiastic “roll up your sleeves” mentality.
Ability to work in ambiguity and thrive in an unstructured, fast-moving environment.
Experience/familiarity with Slack, Apple MacOS and GSuite.

## Additional Information:
This position is eligible for day-one PERM sponsorship for qualified candidates.

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