Quantitative Risk Analyst

STATE STREET CORPORATION; Boston (MA); Hybrid; USD 90,000 - 160,000; Full time

Job summary

Une entreprise leader dans le secteur des services financiers recherche plusieurs Analystes de Risque Quantitatif pour fournir des solutions d'analyse et de modélisation. Les candidats retenus travailleront sur des initiatives de risque, développant des modèles pour évaluer le profil de risque des actifs et passifs de l'entreprise. Un diplôme de Master en ingénierie financière ou dans un domaine quantitatif est requis, avec des compétences en Python, SQL, et machine learning. Un télétravail hybride est possible selon la politique de l'entreprise.

Qualifications

• Master en Financial Engineering ou domaine quantitatif similaire requis.
• Au moins une année d'expérience en modélisation financière.
• Compétences démontrées en analyse de séries temporelles et en apprentissage automatique.

Responsibilities

• Construire et utiliser des modèles pour comprendre le profil de risque des actifs et passifs.
• Collaborer avec des collègues et des partenaires commerciaux pour respecter les contraintes de capital réglementaire.
• Évaluer les modèles de fournisseurs tiers pour les risques identifiés.

Skills

Time series analysis

Machine learning

Stochastic calculus

Statistical programming (Python, MATLAB)

SQL

R

Education

Master’s degree in Financial Engineering, Engineering, Mathematics, Statistics

Job description

Quantitative Risk Analyst (multiple positions)(State Street Bank and Trust Company; Boston, MA): The Quantitative Risk Analyst will focus on delivering modeling and analytics solutions to business units across State Street. The position will focus on various risk initiatives that create value through data driven solutions enabling timely and informed decisions. The Quantitative Risk Analyst will build and use models to understand the risk profile of State Street’s assets and liabilities under a variety of financial market environments. These models will include valuation models to forecast investment portfolio credit losses, risk weighted assets, market values for complex investment portfolios, securities finance, or other risk-related functions. Specific duties of the position include: assist with model methodology research, prototyping and determination; utilizing hands-on experience in building models for various structured and non-structured securities; utilizing and enhancing quantitative and analytical approaches to achieve risk excellence and meet the standards of both internal and regulatory guidelines; evaluating the models and approaches of third-party vendors for these risks, as necessary; collaborating with colleagues, business partners, control functions and other relevant areas of the bank to incorporate regulatory capital constraints and potential policy impacts on investment strategy and allocation decisions; design and implement suitable and effective model monitoring plan including performance metrics, thresholds, and implementation process; support risk management activities and proactively resolve issues; providing support on special projects, including review, oversight and analysis to support key strategic risk-related initiatives; assisting in development and establishment of risk limits, guidelines and policies, as needed; and ensuring appropriate reporting and governance exists to communicate relevant risk information to senior management. Hybrid-remote telecommuting permitted pursuant to Company policy.

Minimum Requirements: Master’s degree in Financial Engineering, Engineering, Mathematics, Statistics, or a related quantitative field, or its equivalent; plus one year of experience in financial modeling or any occupation/title in which financial modeling experience is gained.

Must possess demonstrated solid knowledge and ability with the following: proven knowledge of time series analysis, machine learning, and stochastic calculus; demonstrated experience with statistical programming environment like Python or MATLAB; demonstrated experience with SQL, Python, or R; and proven ability to build complex object-oriented programs that handle big data. (Unless otherwise indicated, State Street is seeking the stated ability in the skills listed above with no specific number of years or amount of experience required. All experience can be gained concurrently.)

To apply to this position, you must click the “Apply” button on this page and complete the online application. An EOE.

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Salary Range:

$90,000 - $160,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.