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Remote Monte Carlo Simulation Jobs in Georgia (NOW HIRING)

Remote Monte Carlo Simulation information

What is a remote Monte Carlo simulation?

A Remote Monte Carlo Simulation job involves using probability and statistical models to predict outcomes and assess risks in various scenarios, all while working from a remote location. Professionals in this role typically use specialized software to run large numbers of simulations, analyze data, and help organizations make data-driven decisions. These jobs are common in fields such as finance, engineering, physics, and insurance. Working remotely allows for flexibility and access to global opportunities, as most tasks can be performed using computers and online collaboration tools.

What are the key skills and qualifications needed to thrive in remote Monte Carlo simulation?

To excel as a Remote Monte Carlo Simulation Specialist, you need a strong background in mathematics, statistics, and computational modeling, often supported by a relevant degree in fields such as engineering, physics, or applied mathematics. Proficiency with programming languages like Python or MATLAB, as well as familiarity with simulation software and tools such as @Risk or Crystal Ball, is typically required. Strong analytical thinking, attention to detail, and effective remote communication are crucial soft skills for this role. These competencies ensure accurate simulation results, facilitate collaboration across distributed teams, and enable effective problem-solving in complex modeling scenarios.

What are some common challenges faced by professionals working in remote Monte Carlo simulation roles, and how can they be addressed?

Professionals in remote Monte Carlo simulation roles often encounter challenges such as coordinating with geographically dispersed teams, ensuring access to high-performance computing resources, and effectively communicating complex results to stakeholders. Overcoming these hurdles typically involves utilizing collaborative platforms for code sharing and documentation, scheduling regular virtual meetings to align project goals, and leveraging cloud-based computing solutions. Building strong communication skills and maintaining clear documentation are essential for remote team success in this field.
What job categories do people searching Remote Monte Carlo Simulation jobs in Georgia look for? The top searched job categories for Remote Monte Carlo Simulation jobs in Georgia are:
What cities in Georgia are hiring for Remote Monte Carlo Simulation jobs? Cities in Georgia with the most Remote Monte Carlo Simulation job openings:

Manager, Structured Products Modeling

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site, Remote

$165K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Overview

Job Purpose

This individual will research, develop, maintain and support a wide variety of structured finance and quantitative models and methodologies for fixed income securities. This position may be based in Atlanta or New York.

 

Responsibilities

  • Lead the modeling effort to support coverage on:
    • CMO and US structured deals
    • European and non-dollar structured deals
    • CLOs, CDOs
  • Assist in independent research for the development of quantitative models and risk management framework for fixed income securities, equities and their derivatives with high-quality research papers and presentations for our clients and prospects.
  • Work closely with the development team and the quality assurance team to ensure timely releases of the product with enhanced capabilities and the highest quality.
  • Support account managers with client related analytical issues. This may require on-site support.
  • Support the sales specialists, as needed. This may require on-site support.

 

Knowledge and Experience

  • 5+ years professional experience in the waterfall modeling, nuances, and assumptions used in structured deals.
  • Ability to build prototypes for structured deals using Python, Excel or other solutions.
  • Preferably experience modeling deals using Intex or other structuring utility.
  • Advanced degree in a quantitative field (e.g. mathematics, physics, engineering and finance).
  • Solid programming skills in C++, Java, or Python, with some experience in SQL.
  • Advanced training in statistical inference, time series analysis, machine learning, and Monte Carlo simulation is highly desirable.
  • Highly motivated. Both a self-starter and a team player. Must be able to work collaboratively and productively in remote environments with teams in other global offices.

 

New York Base Salary Range 

The expected base salary for this role, if located in New York, is between $165,000 - $187,000 USD. The base salary range does not include Intercontinental Exchange's incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances. 

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----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME