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Python Financial Jobs in San Diego, CA (NOW HIRING)

... their financial goals. Job Overview: We are looking for an AVP, IAM AI Engineer to design ... Python), infrastructure-as-code (e.g.,Terraform), CI/CD pipelines, and REST API integration.

... Finance). * Use SQL, Excel, and Tableau for data analysis and reporting; knowledge of Python, R, or other analytical software is an advantage. Requirements: * Strong analytical abilities with the ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

You'll partner closely with Analytics, Business Intelligence, Operations, Finance, and other ... Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

You'll partner closely with Analytics, Business Intelligence, Operations, Finance, and other ... Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

You'll partner closely with Analytics, Business Intelligence, Operations, Finance, and other ... Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

Finance & Business Process Enablement * Partner closely with Finance and Accounting teams to ... Build robust data pipelines using Python, SQL, and Azure services to extract, clean, and prepare ...

Showing results 21-40

Python Financial information

See San Diego, CA salary details

$14

$62

$91

How much do python financial jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python financial in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are popular job titles related to Python Financial jobs in San Diego, CA?

For Python Financial jobs in San Diego, CA, the most frequently searched job titles are:

What cities near San Diego, CA are hiring for Python Financial jobs?

Cities near San Diego, CA with the most Python Financial job openings:

Infographic showing various Python Financial job openings in San Diego, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

AVP, IAM AI Engineer

LPL Financial

San Diego, CA • On-site

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Key responsibilities

  • Design, operationalize, and automate identity runtime controls for human and non-human identities, including real-time authentication, authorization, and policy enforcement.

  • Build, automate, and manage governance controls for AI agents and non-human identities covering provisioning, entitlement, rotation, certification/attestation, and deprovisioning.

  • Partner with engineering and data science teams to ensure identity, authentication, authorization, and secrets handling are integrated into new AI application development.


LPL Financial rating

7.2

Company rating: 7.2 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

129th of 154 rated financial services


Job description

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. Fromcutting-edgeresources and a collaborative environment to the freedom to make an impact and more,you'llfind the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview:

We are looking for an AVP, IAM AI Engineer to design, operationalize, and automate the identity controls that govern both human and non-human actors across our environment - with a specific focus on AI agents and the emerging class of agentic and non-human identities (NHI). This is a hands-on engineering and technical leadership role: you will build the runtime controls, secrets workflows, and governance guardrails that let the organization adopt AI safely, while standing up and growing a team to sustain and scale that work. You will be embedded in new AI application development from the earliest design stages, ensuring identity, authentication, and authorization are built in rather than bolted on.

Responsibilities:

  • Identity runtime controls.Operationalize and automate identity runtime controls across human and non-human identities, including real-time authentication, authorization, and policy enforcement.

  • NHI & agentic governance.Design, build, and automate governance controls for AI agents and non-human identities - covering the full lifecycle: provisioning, entitlement, rotation, certification/attestation, and deprovisioning.

  • Secrets management for AI.Develop and automate secrets-manager workflows for AI systems and agents, including secret rotation, just-in-time and ephemeral credentials, and secure secret delivery to workloads.

  • Least privilege & policy-as-code.Define and enforce fine-grained, least-privilege authorization models for agents and workloads, expressed as policy-as-code wherever possible.

  • Reference architecture & standards.Establish standards and reference patterns for how identity flows through agentic systems - user-to-agent, agent-to-agent (A2A), and workload-to-service authentication and authorization.

  • Embedded in AI development.Partner with engineering and data science teams on all new AI application development, ensuring identity, AuthN/AuthZ, and secrets handling are designed in from the start.

  • End-user IAM deployment.Support the deployment and adoption of IAM controls for end users where required.

  • Monitoring & response.Integrate identity telemetry with SIEM/SOC tooling; build monitoring and anomaly detection for NHI/agent behavior; support incident response for compromised or misused credentials.

  • Governance, risk & compliance.Partner with GRC, risk, and audit stakeholders to ensure controls satisfy regulatory and internal requirements, and to produce audit evidence.

  • Team building & leadership.Recruit, build, mentor, and lead a team to support these workstreams; set technical direction and roadmap for NHI and agentic IAM.

What are we looking for?

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

  • 5+ years in identity & access management or information security, including hands-on engineering.

  • Demonstrated experience building and/or leading technical teams.

  • 5+ years withPing Identity(PingFederate / PingOne / PingAccess) or a comparable access-management / federation platform.

  • 5+ years withSailPoint(IdentityIQ / Identity Security Cloud) or a comparable identity governance & administration (IGA) platform.

  • 3+ years withIdira (CyberArk, formerly Conjur) / HashiCorp Vaultor a comparable secrets-management platform.

Core Competencies:

  • Working knowledge of identity and authorization for both users and agents: user-to-agent and agent-to-agent (A2A) patterns, OIDC and OAuth 2.0/2.1 tokens, and API keys, across both authentication (AuthN) and authorization (AuthZ).

  • Strong automation and engineering skills: proficiency in a scripting/programming language (e.g.,Python), infrastructure-as-code (e.g.,Terraform), CI/CD pipelines, and REST API integration.

  • Experience applying IAM in cloud environments (AWS, Azure, and/or GCP) and in containerized / Kubernetes workloads.

Preferences:

  • Familiarity with workload-identity and machine-identity standards:SPIFFE/SPIRE, OAuth token exchange (RFC 8693), mTLS, and cloud workload-identity federation.

  • Working understanding of AI/agentic systems: LLMs, agent frameworks, tool-calling, and emerging authentication patterns such as the Model Context Protocol (MCP).

  • Experience in a regulated industry (financial services, healthcare, etc.) and with associated compliance regimes.

  • Relevant certifications, e.g., CISSP, CyberArk (Defender/Sentry), SailPoint, Ping, or a major cloud security certification.

  • Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.

#LI-Hybrid


Pay Range:

$122,570.00 - $204,249.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

Company Overview:

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.


At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at(855) 575-6947.


EAC 5.19.26


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