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Quantitative Research Analyst - Portfolio Implementation

External
pimco logoPimco · Newport Beach, CA Usa
Full-timeOn-site2w ago
Machine LearningPython
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Requirements

  • Masters or PhD Degree in computer science, statistics, engineering, finance, economics, econometrics, or a related field
  • Minimum 7 years of experience in financial industry performing econometric/statistical modeling of credit with proven ability to build and test models using corporate fundamentals
  • Experience in predicting returns, modeling individual sectors and companies is desirable
  • Proficiency with Python programming
  • Excellent analytical and quantitative skills, with strong attention to detail and ability to drive results
  • Self-starter who is accountable and motivated by collaborating with PMs and offering robust, scalable solutions to them
  • Strong verbal communication skills with ability to articulate issues and solutions to portfolio managers, credit researchers and developers
  • Would be an added benefit to have exposure to non-traditional modeling techniques ("machine learning").

Benefits

PIMCO is committed to offering a comprehensive portfolio of employee benefits designed to support the health and wellbeing of you and your family. Benefits vary by location but may include:Medical, dental, and vision coverageLife insurance and travel coverage401(k) (defined contribution) retirement savings, retirement plan, pension contribution from your first day of employmentWork/life programs such as flexible work arrangements, parental leave and support, employee assistance plan, commuter benefits, health club discounts, and educational/CFA certification reimbursement programsCommunity involvement opportunities with The PIMCO Foundation in each PIMCO officeSalary Range: $ 205,000.00 - $ 305,000.00Equal Employment Opportunity and Affirmative Action StatementApplicants with DisabilitiesPIMCO is an Equal EmploymenHealth insuranceDental insuranceVision insurance401(k)Flexible schedulePerformance bonusParental leave

Additional Information

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. JOB DESCRIPTION PIMCO has relied on quantitative strategies and intellectual rigor to drive alpha in fixed income markets for over 30 years. We are seeking an experienced Quantitative Research Analyst to continue to build upon our expansive quantitative capabilities and help drive new initiatives in our Portfolio Management - Implementation team. The ideal candidate will have experience in systematic investing especially in Credit and be excited at the prospect of deploying the latest quantitative techniques and financial theory across our business bringing efficiency, consistency and scale. The role will look to leverage quantitative frameworks, blending best practices of incorporating systematic alpha signals & portfolio construction techniques into PIMCO's investment process. Daily responsibilities include working closely with portfolio managers on portfolio construction, developing new signals for alpha generation in Credit and other related asset classes. The role provides opportunities to work with PIMCO's world class PM and trading functions to implement these signals and techniques in portfolios.


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