Part Time Python Jobs in Lewisville, TX (NOW HIRING)

What We Do
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.
In an era defined by AI, Engineering isn't just central - it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.
Who We Look For
Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems.
As a Front Office Engineer, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS. You will also develop innovative platforms that enable efficient risk and P&L management for our trading desks. A key aspect of your role will involve leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.
Basic Qualifications

• Advanced degree in Computer Science (or equivalent work experience).
• Minimum 7 years of relevant professional experience using a modern programming language (Java, C/C++, Python).
• Strong analytical skills, ability to quickly identify scope and impact of issues.
• Team oriented mindset with strong interpersonal and communication skills.
• Energetic, self-directed, and self-motivated.

Preferred Qualifications

• Experience in Financial Services or Fintech.
• Proven ability to lead engineering teams and deliver complex products with multiple stakeholders.
• Experience with AWS.
• Experience working on high availability, mission critical systems.
• Experience with microservice architectures (SOA).
• Experience engineering solutions with distributed tracing, performance testing, authentication, authorization
• Experience with UNIX operating systems internals, infrastructure as code (Terraform), and networking.
• Proficiency with algorithms, data structures, and software design.

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
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