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Entry Level Risk Analyst Jobs in Monroeville, PA

We offer a wide range of career opportunities ranging from entry-level to management in retail ... This role will ensure high-quality data collection, integrity, analysis, and reporting across the ...

District Manager

Pittsburgh, PA · On-site

$106K - $140K/yr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Drive the overall financial performance of the district by analyzing financial reports and ...

District Manager

Pittsburgh, PA · On-site

$106K - $140K/yr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Drive the overall financial performance of the district by analyzing financial reports and ...

Whether you are starting an entry-level position or joining with professional experience, Rural ... Drive the overall financial performance of the district by analyzing financial reports and ...

Showing results 41-48

Entry Level Risk Analyst information

See Monroeville, PA salary details

$15

$40

$65

How much do entry level risk analyst jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for entry level risk analyst in Monroeville, PA is $40.07, according to ZipRecruiter salary data. Most workers in this role earn between $29.52 and $48.75 per hour, depending on experience, location, and employer.

What is an entry level risk analyst?

An Entry Level Risk Analyst is responsible for identifying, assessing, and mitigating risks that could impact an organization’s financial stability and operations. They analyze data, create reports, and assist in developing risk management strategies under the guidance of senior analysts. This role typically involves working with financial models, market trends, and regulatory guidelines to support decision-making. Strong analytical skills, attention to detail, and proficiency in risk assessment tools are essential for success in this position.

What are some typical challenges faced by entry level risk analysts, and how can new hires prepare for them?

Entry Level Risk Analysts often face challenges such as quickly interpreting large volumes of complex data, adapting to evolving regulatory requirements, and learning industry-specific risk assessment methodologies. New hires can prepare by familiarizing themselves with common risk metrics, staying updated on regulatory changes, and practicing effective data analysis. It's also helpful to proactively seek guidance from more experienced team members and participate in relevant training sessions. With diligence and curiosity, most analysts develop confidence and expertise rapidly in this collaborative, knowledge-driven work environment.

What are the key skills and qualifications needed to thrive in the entry level risk analyst position, and why are they important?

To thrive as an Entry Level Risk Analyst, you need strong analytical abilities, attention to detail, and a foundational understanding of finance, economics, or a related field, often supported by a relevant bachelor’s degree. Familiarity with risk management software, Excel, and data analysis tools is advantageous, and some companies value certifications like FRM or CFA Level I. Excellent communication, problem-solving skills, and the ability to work collaboratively make candidates stand out in this role. These skills and qualities are critical for accurately assessing risks, providing actionable insights, and supporting effective decision-making within the organization.

Are entry level risk analyst jobs in high demand?

Entry level risk analyst jobs are in steady demand across various industries such as finance, insurance, and consulting, driven by the need for organizations to manage financial and operational risks. These roles often require skills in data analysis, risk assessment, and familiarity with tools like Excel or risk management software, making them a stable career option for recent graduates.

How hard is it to become an entry level risk analyst?

Becoming an entry level risk analyst typically requires a bachelor's degree in finance, economics, or a related field. Developing skills in data analysis, risk assessment, and familiarity with tools like Excel or risk management software can help, but the role generally has a moderate entry barrier with relevant internships or certifications enhancing prospects.

How to become an entry level risk analyst with no experience?

To become an entry level risk analyst with no experience, focus on gaining relevant skills such as data analysis, Excel, and basic understanding of risk management principles through online courses or certifications. A bachelor's degree in finance, economics, or a related field is typically required, and internships or volunteer work can help build practical experience. Demonstrating strong analytical abilities and attention to detail can improve your chances of entering the field.

What qualifications do I need to be an entry level risk analyst?

An entry-level risk analyst typically needs a bachelor's degree in finance, economics, statistics, or a related field. Strong analytical skills, proficiency in Excel and data analysis tools, and knowledge of risk management principles are also important for this role.

What are the most commonly searched types of Risk Analyst jobs in Monroeville, PA?

The most popular types of Risk Analyst jobs in Monroeville, PA are:

What are popular job titles related to Entry Level Risk Analyst jobs in Monroeville, PA?

For Entry Level Risk Analyst jobs in Monroeville, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Risk Analyst jobs in Monroeville, PA look for?

The top searched job categories for Entry Level Risk Analyst jobs in Monroeville, PA are:

What cities near Monroeville, PA are hiring for Entry Level Risk Analyst jobs?

Cities near Monroeville, PA with the most Entry Level Risk Analyst job openings:

Infographic showing various Entry Level Risk Analyst job openings in Monroeville, PA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,342 per year, or $40.1 per hour.

Sensor Systems Engineer, Autonomous Vehicles - Federal

Pittsburgh, PA • On-site

FieldAI
201 - 500 employees

$162K - $168K/yr

Full-time

Re-posted 20 days ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs.

Sensor Systems Role:

As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains. 

What You Will Get To Do

1. Sensor System Design

  • Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices.

  • Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility.

  • Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy.

  • Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization.

2. Sensor System Implementation

  • Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature).

  • Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed.

  • Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.)  for optimal performance

  • Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states.

3. Sensor System Production & Servicing

  • Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale.

  • Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries.

  • Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.

What You Have

  • Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.

  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.

  • Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS.

  • Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams.

  • Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation.

  • Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups)

  • Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.

  • Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.).

  • Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints.

  • Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions.

  • Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling.

What Will Set You Apart

  • Scaling: Experience taking systems from prototype to large scale production.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across software, electrical, and mechanical systems.

  • Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms.

$100,000 - $240,000 a year

This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.

Compensation

The salary range for this role is $100,000-$240,000.  The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

Why Join Field AI?

We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.


Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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