PGIM

PGIM

Director, Tech Lead - PGIM Fixed Income (Hybrid - Newark, NJ)

Newark, NJ, USA · Director · Part-time

Sponsorship not specified$175k-$195kDetected 30 days ago
JavaScriptPythonJavaData StructuresSQLAWSAzureMachine LearningData VisualizationLLMsRecruitingLeadershipCommunicationProblem Solving

About the role

  • We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.
  • When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers!
  • If your skills align with the role, we encourage you to apply.

Responsibilities

  • In this role, you will partner with product owners, analysts, engineers and business partners to deliver solutions to our Global Investment Operations teams.
  • Lead, mentor and coach the technical teams as you implement solutions to sophisticated business problems
  • Build and optimize technology solutions using modern technology (e.g. Python, Java, SQL).
  • Build and maintain data integrations with 3rd party vendors, internal systems and BlackRock Aladdin
  • Implement and integrate 3rd party tools for fit-for-purpose operations functions
  • 8+ years of hands-on experience as a software engineer, designing, developing and operating applications and data.
  • Strong knowledge of database design, data structures, and algorithms.
  • Strong leadership skills with a proven ability to manage and develop a team.
  • Strong communication skills to effectively collaborate with various teams across the organization.

Requirements

  • Additionally, the candidate should have a deep understanding of Fixed Income asset management across all asset classes and delivering technology solutions across back and middle office functions.
  • Experience with cloud services (Azure, AWS).
  • What you can expect

Compensation

  • Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations.
  • The annual base salary range for this role is from $175,000 to $195,000.

Benefits

  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • Company-funded pension plan.
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration.
  • Drive future state operations solutions to enhance productivity through automation and leveraging generative AI and machine learning techniques to drive efficiencies.
  • To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers.
  • Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.

Company info

  • We are seeking a highly motivated and experienced Tech Lead to join our dynamic Investment Operations Technology Solutions Group in our Newark office.
  • We are looking for a strong software engineer to build our future operations platforms.
  • What will set you apart
  • What we offer you:
  • If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today.

Equal opportunity

  • equal opportunity employer.
  • If you need an accommodation to complete the

This listing is sourced directly from PGIM's careers page and normalized into a canonical job model.