Asset & Wealth Management-Dallas-Associate-Quantitative Engineering

Job Overview

Location

Jersey City, New Jersey, United States

Job Type

Full Time
Additional Details

Job ID

6837

Job Views

36

Job Description

Goldman Sachs is seeking a highly motivated and skilled Associate for our Asset & Wealth Management division in Dallas. This role focuses on Quantitative Engineering, where you will play a crucial part in managing and optimizing the financial assets of our clients through advanced quantitative techniques. As a key member of our team, you will collaborate with various departments to ensure the highest level of client service and financial performance.

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Key Responsibilities

  • Develop and implement quantitative models for asset and wealth management strategies.
  • Analyze financial data and market trends to inform investment decisions.
  • Collaborate with portfolio managers and traders to optimize asset allocation.
  • Conduct risk assessments and develop mitigation strategies.
  • Provide quantitative support for new product development.
  • Present findings and recommendations to senior management and clients.
  • Stay updated on regulatory changes and ensure compliance in all quantitative processes.

Required Skills and Qualifications

  • Bachelor or Master degree in Quantitative Finance, Mathematics, Statistics, or related field.
  • Strong proficiency in programming languages such as Python, R, or MATLAB.
  • Experience with financial modeling and quantitative analysis.
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation skills.
  • Ability to work effectively in a team-oriented environment.
  • Knowledge of financial markets and instruments.

Asset & Wealth Management-Dallas-Associate-Quantitative Engineering

Experience

  • Minimum of 3-5 years of experience in quantitative analysis or a related field.
  • Previous experience in asset and wealth management is highly desirable.
  • Proven track record of developing and implementing quantitative models.

Working Hours

  • Full-time position with standard working hours from 9:00 AM to 6:00 PM, Monday to Friday.
  • Flexibility to work additional hours as required to meet project deadlines and client needs.

Knowledge, Skills, and Abilities

  • Deep understanding of quantitative finance principles.
  • Advanced skills in statistical analysis and financial modeling.
  • Ability to interpret complex financial data and market trends.
  • Strong attention to detail and accuracy.
  • Proactive and able to work independently with minimal supervision.

Asset & Wealth Management-Dallas-Associate-Quantitative Engineering

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Generous paid time off and holidays.
  • Professional development opportunities and tuition reimbursement.
  • Access to wellness programs and resources.

Why Join Goldman Sachs

  • Be part of a leading global investment banking, securities, and investment management firm.
  • Work with a diverse and talented team of professionals.
  • Engage in challenging and rewarding projects that impact global markets.
  • Access to cutting-edge technology and resources.
  • Opportunities for career advancement and growth within the company.
  • Commitment to a culture of inclusion and excellence.

Asset & Wealth Management-Dallas-Associate-Quantitative Engineering

How to Apply

Interested candidates are invited to submit their resume and cover letter through our career portal at Goldman Sachs Careers. Please include details of your relevant experience and how you can contribute to our team. Applications will be reviewed on a rolling basis.

Some Interview Points

  • Be prepared to discuss your experience with quantitative modeling and financial analysis.
  • Highlight specific projects where you developed or implemented quantitative strategies.
  • Demonstrate your understanding of current market trends and their impact on asset management.
  • Discuss your approach to risk assessment and mitigation.
  • Be ready to solve real-time quantitative problems during the interview.
  • Show your ability to work collaboratively and communicate effectively with a diverse team.