1

Associate Quantitative Risk Analyst Jobs in Maine

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping) * Compile ...

Senior Structural Engineer

Portland, ME · On-site +1

$100K - $160K/yr

Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give presentations, and participate in internal and client meetings. * Prepare scopes of work, budgets, and ...

Senior Structural Engineer

Portland, ME · On-site

$100K - $160K/yr

Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give presentations, and participate in internal and client meetings. * Prepare scopes of work, budgets, and ...

Senior Structural Engineer

Portland, ME · On-site

$102K - $139K/yr

Participate in semi-quantitative risk analysis workshops. * Prepare formal written reports, give presentations, and participate in internal and client meetings. * Prepare scopes of work, budgets, and ...

PRIMARY DUTIES AND RESPONSIBILITIES Risk Modeling & Analysis * Assist in developing, updating, and maintaining probabilistic and quantitative pipeline risk models using structured logic, threat ...

PRIMARY DUTIES AND RESPONSIBILITIES Risk Modeling & Analysis * Assist in developing, updating, and maintaining probabilistic and quantitative pipeline risk models using structured logic, threat ...

Credit Analyst Associate

Auburn, ME · Hybrid

$55K - $80K/yr

The analyst must develop a thorough understanding of the marketplace, credit analysis and ... assessing risk, and making recommendations. * Fuels organizational synergy through consistent ...

next page

Showing results 1-20

Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

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.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

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, and why are they important?

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 job categories do people searching Associate Quantitative Risk Analyst jobs in Maine look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Maine are:
What cities in Maine are hiring for Associate Quantitative Risk Analyst jobs? Cities in Maine with the most Associate Quantitative Risk Analyst job openings:
GIS Analyst

GIS Analyst

Wood Plc

Portland, ME • Remote

Other

Re-posted 8 days ago


Job description

Overview / Responsibilities

Wood Environment & Infrastructure Solutions is currently seeking GIS Analysts to perform flood risk analysis, mapping, and related services on Federal Emergency Management Agency (FEMA) projects throughout the Mid-Atlantic, Midwest, and Northeast U.S. regions.  

This role has the potential to work remotely from any location in the US.

Key Responsibilities:

  • Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping)
  • Compile, manipulate, and refine geographic data from a variety of sources including hydraulic models, field collection, satellite/aerial imagery, public domain data, and existing maps
  • Produce detailed, high-quality cartographic products (digital and hardcopy) and accompanying reports in accordance with technical guidelines and client needs
  • Communicate with project team members and other stakeholders to define data needs, project requirements, and desired outputs
  • Compile, manipulate, and refine geographic data from a variety of sources including public domain, field collection, satellite imagery, aerial photographs, and existing maps
  • Perform regular quality control checks of spatial and non-spatial datasets to ensure data integrity
  • Collaborate with team members on project tasks related to GIS, database design and management, and data visualization
  • Customize GIS workflow and software programs for data collection, engineering, and environmental applications

#LI-Remote

Skills / Qualifications

Required:

  • 2 - 5 years of GIS project experience
  • BA/BS in GIS, Geography or related field
  • Understanding of cartography and cartographic principles
  • Proficiency using ESRI ArcGIS software (Pro, Desktop, and/or Online)
  • Proficiency using Microsoft Office
  • Experience in producing high-quality digital and hardcopy maps and project graphics
  • Strong written and verbal communication skills
  • Ability to understand and carefully follow both written and oral guidance/instructions
  • Resourceful and self-motivated

Preferred:

  • Experience with FEMA's Risk MAP and National Flood Insurance Program (strongly preferred)
  • Experience with hazard mitigation
  • Customization of GIS software using Python
  • Basic proficiency in other scripting/programming languages a plus
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER