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Associate Quantitative Risk Analyst Jobs in North Carolina

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics ... Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR ...

US Bank

Fraud Risk Analyst

Charlotte, NC

... another quantitative field. Extensive data analytics experience in fraud analytics, fraud ... risk management, financial services, cybersecurity, or a related field, and experience translating ...

Td

Senior Quantitative Analyst (US)

Charlotte, NC · On-site

$76K - $114K/yr

Risk Management Department Overview: Model Risk Management supports the effective oversight of ... The Senior Quantitative Analyst provides the quantitative analysis and builds the advanced ...

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Associate Quantitative Risk Analyst information

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What are the most commonly searched types of Quantitative Risk Analyst jobs in North Carolina?

The most popular types of Quantitative Risk Analyst jobs in North Carolina are:

What are popular job titles related to Associate Quantitative Risk Analyst jobs in North Carolina?

For Associate Quantitative Risk Analyst jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in North Carolina look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in North Carolina are:

What cities in North Carolina are hiring for Associate Quantitative Risk Analyst jobs?

Cities in North Carolina with the most Associate Quantitative Risk Analyst job openings:

Associate Quantitative Risk Analyst jobs near you

Quantitative & Risk Analytics - ESG Analytics, Senior Associate

Barings

Charlotte, NC

Full-time

Posted 16 days ago

Job description

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Title: Quantitative & Risk Analytics - ESG Analytics, Senior Associate

Business Title: Senior Associate

Department: Portfolio Solutions & Analytics

Location: London UK, Charlotte NC

Job Summary

The Quantitative & Risk Analytics (QRA) team at Barings is seeking a Senior Associate to support ESG analysis for Barings public and private portfolios. This individual will partner closely with portfolio managers, product managers and sales teams to provide regular and ad-hoc ESG analytics and reporting. In additional the analyst will contribute towards the design and maintenance of quantitative ESG overlays supporting mandates with specific ESG integration requirements.

The ideal candidate will have experience of working in an ESG data vendor or a quantitative ESG role in an asset manager. Comfort with manipulating large data sets and experience of Python, SQL, Excel, PowerBI or similar are required. Additionally the analyst will have knowledge of regulatory ESG frameworks such as TCFD, SFDR, TNFD etc.

Some knowledge of fixed income investment markets is also desirable together with being comfortable with liaising with stakeholders at varying levels of seniority in the firm. The ideal candidate will also have an interest in sustainable investments and desire to apply that in financial markets.

Primary Responsibilities

  • Oversee the monthly ESG analytics production run
  • Responsibility for providing monthly and quarterly ESG analytics and data to investment teams and clients
  • Contribute to client meetings and presentations on Barings EGS capabilities
  • Develop ESG portfolio overlay strategies to support client objectives such as decarbonization mandates, including analysing impacts on the market opportunity set.
  • Build and improve analytical tools, dashboards and screens, to better incorporate ESG analytics into the investment process.
  • Liaise with data vendors over data issues and incorporating new data sets.
  • Partner with data, technology, and platform teams to improve data quality and automate recurring analytics.

Qualifications

  • Degree in finance, economics, mathematics, statistics, engineering, or a related quantitative field.
  • 2+ years of relevant experience in an ESG data role, ideally at an ESG vendor or asset manager.
  • Demonstrated ability to work with and manipulate large ESG datasets.
  • Ability to interpret and explain portfolio ESG metrics to investment teams as well as to less technical audiences.
  • Ability to work functionally with data and code, such as Python, SQL, PowerBI, Excel or comparable tools, to analyse data.
  • Strong written and verbal communication skills, including the ability to communicate complex ESG concepts clearly and confidently.
  • Demonstrated judgment, intellectual curiosity, ownership mindset, and ability to independently drive analysis from problem definition through stakeholder communication.

Preferred Qualifications

  • Familiarity with buy-side risk and portfolio analytics platforms, such as Aladdin, Refinitiv, Bloomberg, MSCI ESG Manager or comparable tools.
  • Working towards or interest in pursuing CFA, CFA sustainable investment certificate or other industry qualification.

#LI-AA1

Requisite Skills

Additional Skills

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.

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