1

Loss Recovery Analyst Jobs in California (NOW HIRING)

Periodically, ALPMs may need to support the response to, recovery from, and future prevention of ... CNS, MOS, Front-End Operations, MPT, etc.) and analytics. • Identify shortage risks through ...

Showing results 21-40

Loss Recovery Analyst information

What is a loss recovery analyst?

A Loss Recovery Analyst is a professional responsible for identifying, investigating, and recovering financial losses incurred by a company due to fraud, errors, disputes, or other irregularities. They analyze transactions, review documentation, and work closely with other departments or external entities to reclaim lost funds. Their role often involves using data analysis tools and adhering to regulatory guidelines to ensure accurate recovery processes and minimize future losses.

How does a loss recovery analyst typically collaborate with other departments within a financial institution?

Loss Recovery Analysts work closely with departments such as collections, legal, risk management, and customer service. They coordinate with collections teams to review delinquent accounts, partner with legal teams to ensure compliance with recovery processes, and communicate with risk management to identify trends and prevent future losses. This cross-functional collaboration helps streamline recovery efforts, ensures accurate record-keeping, and supports effective resolution strategies. Strong communication and teamwork skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a loss recovery analyst, and why are they important?

To thrive as a Loss Recovery Analyst, you need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with risk management software, financial databases, and case management systems, as well as certifications like CFE (Certified Fraud Examiner), are commonly required. Excellent communication, problem-solving skills, and persistence help professionals excel in recovering losses and negotiating with stakeholders. These competencies are crucial for accurately identifying recoverable assets, minimizing company losses, and ensuring compliance with legal and regulatory standards.

What is the difference between Loss Recovery Analyst vs Claims Analyst?

AspectLoss Recovery AnalystClaims Analyst
CredentialsTypically requires a bachelor's degree in finance, accounting, or related field; certifications like CPCU or ARM are commonSimilar educational background; certifications like CPCU or ARM also advantageous
Work EnvironmentUsually in insurance companies, financial institutions, or legal settingsPrimarily in insurance companies, adjusting firms, or legal departments
Industry UsageFocuses on recovering losses through negotiations, legal action, or insurance claimsHandles processing, evaluating, and settling insurance claims

While both roles operate within the insurance and financial sectors and may share similar credentials, the Loss Recovery Analyst primarily focuses on recovering losses through negotiations and legal avenues, whereas the Claims Analyst manages the processing and settlement of insurance claims. Understanding these distinctions helps job seekers identify the right career path based on their skills and interests.

What are popular job titles related to Loss Recovery Analyst jobs in California?

For Loss Recovery Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Loss Recovery Analyst jobs in California look for?

The top searched job categories for Loss Recovery Analyst jobs in California are:

What cities in California are hiring for Loss Recovery Analyst jobs?

Cities in California with the most Loss Recovery Analyst job openings:

Infographic showing various Loss Recovery Analyst job openings in California as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 24% Part Time, and 5% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Senior Systems Software Engineer - Wireless

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 17 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

GeForce NOW is NVIDIA's cloud gaming platform, delivering ultra-low-latency, high-performance gameplay from the cloud to PCs, Macs, mobile devices, and beyond. The same streaming technologies powering GeForce NOW are advancing the future of AR/VR, AI inference, and connected mobility.
We're looking for a Senior Systems Software Engineer with strong C++ experience and practical knowledge of wireless networking to improve streaming performance on wireless networks on the next generation of use cases in automotive, robotics, and physical AI. This role is ideal for someone who understands 5G cellular connectivity, 5G core network concepts, Wi-Fi, modern networking protocols, and real-time streaming systems. Experience with automotive connectivity, connected vehicles, telematics, APIs, QNX, and Linux is also valuable.
What You'll Be Doing:
  • Build, develop, and optimize low-latency C/C++ software to improve real-time streaming over 5G, Wi-Fi, and other bandwidth-limited wireless networks. Use technologies such as WebRTC and modern transport protocols.
  • Build connectivity solutions that integrate with cellular, Wi-Fi, and platform APIs while diagnosing anomalies using telemetry, packet captures, modem diagnostics, and user data.
  • Analyze logs, packet captures, modem diagnostics, network telemetry, and user metrics to fix latency, system efficiency, handover, packet loss, and recovery issues.
  • Develop network quality KPIs, automated test frameworks, and realistic wireless network simulations to validate streaming performance under challenging real-world conditions.
  • Partner with cloud networking teams, automotive partners, wireless carriers, and platform engineers to deliver scalable streaming solutions, while mentoring engineers and advancing guidelines for wireless connectivity.
  • Use data analysis and modeling tools to understand real-world network behavior and identify areas for improvement.

What We Need To See:
  • Master's degree, Ph.D., or equivalent experience in Computer Science, EE, or a closely related field.
  • 8+ years of experience in wireless networking and software development.
  • Hands-on experience with wireless communication technologies, including 5G, Wi-Fi, or satellite connectivity, with familiarity across modern 5G architectures and deployments.
  • Familiarity with 5G core networks and practical 5G deployments across different spectrum, access, and network architectures.
  • Strong hands-on experience in C/C++ software development, optimization, and debugging.
  • Deep understanding of streaming and connectivity-related technologies, including RTP, WebRTC, WebSockets, QUIC, SCTP, STUN/TURN, ICE, and NAT Traversal.
  • Experience debugging connectivity or streaming issues using event logs, captured network data, telemetry, and network diagnostics.
  • Strong analytical and problem-solving skills, with the ability to work across software, platform, modem, carrier, and network layers.

Ways To Stand Out From The Crowd:
  • Experience with WebRTC, QUIC, RTP, adaptive streaming, congestion control, jitter buffering, packet loss recovery, or low-latency media transport.
  • Experience with Android, iOS, Linux, QNX, embedded systems, 5G modems, automotive connectivity, telematics, or software-defined vehicles.
  • Familiarity with interface bonding, multipath protocols, SD-WAN, VPNs, or network virtualization.
  • Familiarity with SDN concepts such as control/data plane separation, traffic steering, policy-based routing, programmable networks, or network automation.
  • Experience working with global ISPs, wireless service providers, carriers, or network equipment partners.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are expanding rapidly. If you're a creative, autonomous engineer with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US