Job Summary:

The Operations Manager is responsible for end-to-end ownership of the production value stream, driving operational performance, efficiency, and continuous improvement while ensuring alignment with strategic objectives and customer expectations.

This role is accountable for meeting key performance indicators (KPIs) related to safety, quality, delivery, cost, and efficiency while fostering a data-driven, bottom-up problem-solving culture. They will lead a cross-functional production team, ensuring that workflow optimization, resource utilization, and Lean manufacturing principles are effectively applied to drive operational excellence.

This position collaborates closely with Planning, Materials, Quality, Engineering, and Maintenance to optimize processes, resolve bottlenecks, and implement continuous improvement initiatives that support long-term business growth.

Second Shift: 3pm - 11:30pm

Essential Functions:

• KPI Ownership & Performance Management: Own, monitor, and drive improvement in key performance indicators (KPIs) including on-time delivery (OTD), first-pass yield (FPY), defects per unit (DPU), safety incidents, and cost efficiency within the value stream.
• Lead Daily Operations: Oversee daily production activities, ensuring work is executed safely, efficiently, and in alignment with production schedules, quality standards, and operational goals.
• Team Leadership & Accountability: Manage and develop a cross-functional team including production, quality, materials, and maintenance. Set expectations, provide coaching, and ensure accountability at all levels.
• Production Scheduling & Efficiency: Partner with Production Planning and Materials teams to align demand with capacity, ensuring a balanced workflow, efficient material usage, and optimized labor deployment.
• Data-Driven Problem Solving: Lead root cause analysis and corrective actions for operational issues, using tools such as Pareto analysis, A3 problem-solving, and process mapping to drive improvements.
• Continuous Improvement & Lean Implementation: Champion Lean manufacturing principles, eliminating waste and driving efficiency through 5S, Kaizen, Standard Work, and Value Stream Mapping (VSM) initiatives.
• Cross-Functional Collaboration: Work closely with Engineering, Quality, and Maintenance teams to identify and resolve design, process, or equipment issues affecting production.
• Compliance & Safety: Ensure adherence to safety policies, quality standards, and regulatory requirements. Champion a culture of zero injuries and high-quality production.

Qualifications:

Education & Experience:

• Preferred: Bachelor’s degree in Engineering, Operations Management, Business, Industrial Technology, or a related field.
• Minimum Required: 3-5 years of experience in manufacturing leadership, such as Production Supervisor, Manufacturing Manager, or Value Stream Leadership roles.
• Proven track record of improving KPIs (e.g., cycle time reduction, FPY improvements, DPU reductions, or cost-saving initiatives).

Certifications (Preferred, but Not Required):

• Lean Six Sigma Green Belt (or higher) preferred.
• Project Management Professional (PMP) certification is a plus.
• APICS, CPIM, or other supply chain-related certification is a plus for materials-heavy value streams.

Skills & Competencies:

• Leadership & Team Development: Proven ability to develop, coach, and manage cross-functional teams, ensuring accountability and engagement.
• Data-Driven Problem-Solving: Strong analytical and critical thinking skills with experience in using KPIs, root cause analysis, and Lean tools to drive decision-making.
• Process Optimization: Hands-on experience in Lean manufacturing, value stream mapping, waste elimination, and production workflow optimization.
• Communication & Stakeholder Engagement: Ability to communicate effectively with shop floor teams, peers, and senior leadership, ensuring alignment across the organization.
• Time Management & Prioritization: Strong ability to manage multiple priorities, meet deadlines, and drive results in a fast-paced environment.
• Technical Proficiency: Experience with ERP/MRP systems (INFOR/Syteline a plus), Tableau, and Microsoft Office (Excel, PowerPoint, Word) for reporting and data analysis.

Position Summary

At IEM, we’re not just growing – we're thriving! Our rapid expansion means new opportunities are always on the horizon. If you’re someone who gets excited by making an impact through interesting challenges, you’ll feel right at home.

IEM is seeking a Sustainability Program Analyst for Jacksonville, FL; Ashburn, VA; Phoenix, AZ to support the execution and growth of our sustainability and ESG initiatives. This role is ideal for a professional with strong analytical skills and an interest in sustainability within a manufacturing environment.

Working closely with the Director of Sustainability and cross-functional teams, this role will contribute to sustainability data management, reporting, and program coordination. The Analyst will help translate sustainability goals into actionable initiatives, support emissions tracking (Scope 1, 2, and 3), and assist with regulatory and customer-driven ESG requirements.

This position offers hands-on exposure to sustainability strategy, data systems, and operational initiatives in a fast-paced industrial setting.

Key Responsibilities

Program & Initiative Support

• Support the coordination and execution of sustainability programs and initiatives.
• Assist in tracking project timelines, milestones, and KPIs across multiple initiatives.
• Help maintain documentation such as program plans, trackers, and status updates.
• Collaborate with internal teams (operations, engineering, supply chain, finance) to support project execution.

Sustainability Data & Analysis

• Collect, validate, and manage sustainability data, including Scope 1, 2, and 3 emissions.
• Assist in maintaining greenhouse gas (GHG) inventories aligned with the GHG Protocol.
• Analyze data to identify trends, gaps, and improvement opportunities.
• Support development of dashboards, reports, and presentations for internal stakeholders.

Sustainability Operations Support

• Partner with internal teams to support initiatives related to:
• Energy efficiency and facility emissions
• Waste and water management
• Supply chain sustainability data collection
• Assist in evaluating sustainability improvement opportunities through basic analysis and research.

Regulatory & Reporting Support

• Support preparation of sustainability disclosures and reports (e.g., SASB, GRI, CSRD).
• Assist with data gathering for audits, customer requests, and ESG questionnaires (e.g., CDP, EcoVadis).
• Monitor and summarize emerging sustainability regulations and standards.

Stakeholder Collaboration

• Coordinate with internal stakeholders to gather data and support initiatives.
• Help prepare materials for leadership updates and external communications.
• Contribute to internal sustainability awareness and engagement efforts.
• The candidate will be expected to perform additional duties as assigned to support the team and organization 

Qualifications Required

• Bachelor’s degree in Sustainability, Environmental Science, Engineering, Business, or related field.
• 2–3 years of experience in sustainability, data analysis, operations, or a related role.
• Strong analytical and problem-solving skills with attention to detail.
• Experience working with data (Excel, dashboards, or similar tools).
• Basic understanding of sustainability concepts (GHG emissions, ESG, or climate-related frameworks).
• Strong communication and organizational skills.
• Ability to work collaboratively in a cross-functional manufacturing environment.

• Able to travel for work 25-30%.
• Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization 

Preferred

• Exposure to sustainability frameworks (GHG Protocol, SASB, GRI, CDP, etc.).
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Internship or work experience in manufacturing, industrial, or energy-related environments.
• Familiarity with ESG or sustainability reporting tools/platforms is a plus.

Key Competencies

• Strong attention to detail and data accuracy
• Analytical thinking and curiosity
• Willingness to learn and grow in sustainability
• Effective communication and teamwork
• Ability to manage multiple tasks and priorities

Switchgear Applications Engineer 

Location: Jacksonville, FL 

Reports To: Technical Program Manager

Salary Range:  $100,000 - $150,000 Annually

Position Summary 

As the Technical Program Application Engineer with the Commercial Enterprise team, you will report to the Technical Program Manager and work closely with both the commercial and engineering teams.

In this role, you will serve as the key technical review and product point person, ensuring the accuracy and completeness of clean orders.

Key Responsibilities 

• Review customer plans and specs for use in the RFQ and Order Entry stages, raising any discrepancies with customers through RFI process,
• Review and redline drawings, suggesting solutions or alternate designs where applicable, to ensure alignment with customer specifications and electrical regulatory body standards, for various regions.
• Respond to external RFIs in accordance with Service Level Agreements.
• Provide detailed scope of customer change requests, submit change notices and follow-up to completion and/or escalate if changes may impact beyond a specific deployment.
• Support post-delivery RFIs through customer/IEM Procore with timely responses and coordinate internal intercept plans where needed.
• Create customer specific content for technical manuals and documentation, provide revisions for new design iterations.
• Provide detailed responses to customers’ design engineering submittal feedback in accordance with Service Level Agreements.
• Proactively interact with clients, vendors and internal teams (sales, field service, commercial, project managers, internal engineering, etc.) to gather information, and resolve issues.
• Communicate effectively with internal partners and customers, industry contacts (where required), in a timely and professional manner. Ensure all affected departments are well informed and provided with timely updates to open projects/concerns.
• Provide regular progress reports on assignments, identifying areas of improvement and/or successes.
• Other duties as assigned.
• Occasional travel is required.

 Qualifications 

• Bachelor’s degree in electrical engineering.
• 5+ years experience with the application of electrical distribution products and systems.
• Knowledge and experience in evaluating complex single line diagrams (SLDs) and communication network diagrams, including media and protocols.
• Strong technical aptitude and analytical skills, with the ability to interpret technical product specifications and applications.
• Familiarity with ANSI, IEEE, UL, and CSA standards for low-voltage power distribution equipment.
• Proficient in both written and spoken English.
• Excellent communication and employee relations skills.
• Enthusiasm for learning and growth; proactively identifies opportunities and takes initiative to resolve issues.
• A problem-solving mindset and the ability to approach challenges constructively.
• Demonstrated ability to manage multiple concurrent deliverables and perform effectively in a dynamic, fast-paced environment.
• Proficiency with MS Office 365, Adobe/Bluebeam, AutoCAD, business intelligence software (e.g., Tableau, Power BI), and ERP systems (experience with Infor is considered an asset

Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Location: US Remote

Reports To: Director of Data and Analytics 

Salary Range: $130,000 - $170,000

Position Summary:

The Data Engineer is a core builder on IEM’s data and analytics team. This role develops and maintains the data pipelines and transformation models that power Tableau dashboards and business decisions across the organization. Working within an established modern data stack (Fivetran, Snowflake, dbt, Tableau. The Data Engineer turns raw source data into reliable, well-tested, and well-documented analytics-ready datasets. This is a hands-on individual contributor role with real ownership of production data models and growing influence on engineering standards.

Ideal Candidate Profile

You have 3–5 years of experience building data pipelines and transformation workflows in cloud environments. You’re proficient with SQL and Python, comfortable working in Snowflake, and have hands-on experience with dbt or similar transformation tools. You write clean, tested code and take pride in documentation. You’re curious about the business context behind the data and can translate stakeholder questions into well-modeled datasets. You work well on a small team, take feedback constructively, and are eager to grow your skills in analytics engineering, data modeling, and cloud data architecture. You’re excited about AI’s role in modern data work and comfortable using AI coding assistants and agents to accelerate your output.

Key Responsibilities:

• Data Pipeline Development: Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake
• dbt Transformation Models: Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering
• Data Modeling: Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis
• Data Quality: Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause
• Source System Integration: Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse
• Documentation: Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work
• Collaboration: Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions
• Performance: Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times
• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes
• Continuous Learning: Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team
• AI-Assisted Development: Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field, or equivalent experience
• 3–5 years of experience in data engineering, analytics engineering, or BI development with hands-on experience building production data pipelines
• Strong SQL skills including CTEs, window functions, complex joins, and query optimization
• Experience with Snowflake or similar cloud data warehouses
• Working experience with dbt (data build tool) for building and testing data transformation workflows
• Proficiency in Python for data processing, scripting, and API integrations
• Experience with data integration platforms such as Fivetran or similar ELT tools
• Familiarity with Tableau or similar BI tools and understanding of how data structure impacts dashboard performance
• Comfortable with Git version control and modern development workflows including code review and CI/CD
• Strong problem-solving skills with ability to debug data issues systematically
• Clear written and verbal communication skills with ability to document work and explain technical concepts to non-technical stakeholders
• Self-motivated with ability to work independently in a remote environment while collaborating across a distributed team
• Experience using AI coding assistants (e.g., Claude, GitHub Copilot) and comfort directing AI agents to perform data engineering tasks such as writing SQL, generating dbt models, and debugging pipeline issues
• Preferred: Experience with manufacturing, construction, or project management data systems such as Procore, ERP platforms, or supply chain tools
• Preferred: Familiarity with dimensional modeling concepts (star schemas, fact/dimension tables)

Location

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

The role:

We are seeking a Senior Financial Systems Analyst who will support Workday on a day-to-day basis focusing on unlocking its vast reporting possibilities. This is an exciting role for someone to make a direct impact at SoFi by shaping our processes and providing reporting solutions to help drive visibility, while also playing a key role in our implementation of Workday Financials.

Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: You are an expert in Workday Financials and also understand data flows/SQL/Tableau, while also having the ability to step back and understand the business needs. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

This position will be part of the Business Intelligence and Systems team within Accounting Controllership.

What you’ll do: 

• Support Workday Financials through configuration of business process, condition rules, validations
• Create and maintain complex Workday financial reports
• Participate in bi-annual Workday release regression testing and uptake of new features.
• Stay updated on the Workday roadmap and propose changes and solutions in areas of focus.
• Act as a technical expert and support the broader finance team in Workday reporting
• Develop strong collaborative relationships with the Finance, Engineering, People orgs and across the company, with a specific focus on our Workday integrations
• Leverage Workday and other tools and systems to design, develop & deliver robust and scalable reporting
• Perform daily administrative and production support tasks as required
• Develop and deliver training on SoFi’s financial business processes and use of Workday
• Be part of a great team, but capable of operating independently - managing relationships, deliverables and expectations with your business partners
• Be personable, approachable and able to connect with each and every person on the team and throughout the business
• Remain detail-oriented while working across a variety of projects

Who are you:

• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners
• Expert in Financial Management Systems, with an understanding/vision of how to architect the perfect solution
• Experience with Database Management systems (SQL) who enjoys solving complex problems
• Experience with front-end reporting tools (Tableau)
• Strong ability to project manage and to remain detail-oriented while working with numerous stakeholders
• Strong analytical, problem solving and critical thinking skills
• High EQ with ability to influence outcomes and communicate technical content to general audiences
• Knowledge of the banking space a strong plus

What you’ll need:

• Bachelor's degree required, preferably in Mathematics, Computer Science, Statistics or a Business related degree (Masters a plus)
• 5+ years of work experience
• 2 + years of experience configuring and supporting a combination of at least 2 of the following modules: Supplier accounts, Customers, Projects and Billing, Business Assets, Expenses,  Banking and Settlement, Financial Accounting and Accounting Center
• Subject matter expert on:
• Workday Financial Reporting (Advanced, Matrix)
• At least one of the modules: Supplier Accounts, Customers
• Experience required:
• Multiple subsidiary structure and working with different functional currencies
• ETLs/ELTs related to Workday integrations
• SOX Compliance
• Experience preferred:
• Workday Pro Certifications
• Workday Financial Reporting (Composite, Discovery Boards, Prism, Office Connect)
• Consolidations
• FDM design, deployment, and maintenance
• SQL (Snowflake)
• Tableau
• Finance planning tools (ex: Planning analytics (TM1))
• Alteryx
• Integration platforms such as Fivetran or Mulesoft
• Jira / Confluence  or other Scrum Management tools
• Strong verbal and written communication skills
• Spanish fluency a plus
• Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners

The Role 

We are seeking a Senior ing functions within the First Line of Defense. This role will primarily focus on monitoring and analyzing Fraud Key Risk Indicators (KRIs), Risk Appetite Statement (RAS) metrics, Strategy and Rule monitoring oversight, governance documentation, and other enterprise fraud 

performance metrics to ensure the Fraud Program operates within defined risk tolerances and governance expectations. 

The Senior Risk Analyst will play a critical role in governance control, analyzing fraud performance trends, identifying emerging risk signals, supporting escalation of metric breaches, and delivering data-driven insights to senior leadership and enterprise risk committees. This position will also support audit, regulatory examination, and fraud risk assessment activities, helping ensure the Fraud Program maintains strong governance, transparency, and regulatory alignment. 

While the primary focus of this role is fraud risk analytics and performance monitoring, the Senior Analyst will also assist the broader Fraud Program team in supporting program governance, documentation, strategy oversight, and cross-functional coordination across the Fraud ecosystem. 

The ideal candidate will bring strong analytical capabilities, experience with risk assessment frameworks or audit processes, a deep understanding of fraud risk management within a banking or fintech environment, and the ability to drive cross-functional collaboration between all lines of business. 

What you’ll do: 

Fraud Risk Metrics Monitoring & Performance Analytics (Primary Focus) 

• Monitor and analyze Fraud Key Risk Indicators (KRIs), Risk Appetite Statement (RAS) metrics, and other enterprise fraud performance indicators across products and business lines. ● Identify performance trends, emerging risks, and early warning signals across fraud domains including account takeover, transaction fraud, disputes, and fraud operations performance.
• Support the escalation and investigation of metric breaches, working with cross-functional teams to determine root causes and corrective actions. 
• Produce regular risk reporting and executive summaries for fraud governance committees and leadership forums. 
• Develop and maintain data-driven insights and dashboards to improve transparency into fraud risk performance across the enterprise. 

Fraud Risk Governance & Oversight 

• Assist with maintaining and enhancing the Fraud Program’s KRI and KPI framework, ensuring alignment with enterprise risk management and regulatory expectations. 
• Support ongoing metric validation, threshold monitoring, and governance processes to ensure fraud metrics remain accurate, stable, and meaningful. 
• Partner with Fraud Strategy, Operations, Data, and Risk teams to ensure consistent measurement and interpretation of fraud risk performance across products. 

Risk Assessment, Audit & Regulatory Support 

• Assist in the execution of Fraud Risk Self-Assessments (FRSAs) and other targeted risk evaluations across fraud domains through data analytic needs. 
• Support the tracking and remediation of fraud-related issues identified through audit, risk assessments, regulatory reviews, or control testing. 
• Coordinate with Fraud Program Lead to support regulatory exam responses and documentation requests. 

Fraud Program Governance & Documentation (Supporting Role) 

• Assist in maintaining fraud program documentation, procedures, and governance artifacts, including playbooks, policies, and operational standards. 
• Support coordination of fraud governance forums and committee reporting, ensuring accurate and timely risk reporting. 
• Assist with cross-functional initiatives and program management efforts that support the overall fraud risk management ecosystem. 

What you’ll need: 

• 5+ years of experience in fraud analytics, risk management, or fraud program management.
• Strong experience in leading projects, working cross-functionally, and influencing senior stakeholders. 
• Experience working with multiple cross-functional teams to deliver results 
• Experience in banking and/or fintech industry 
• Strong Knowledge of fraud prevention tools and techniques. 
• Excellent problem-solving skills and ability to translate complex data into clear business recommendations. 
• Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) ● Familiarity with Python. 
• Strong experience creating scalable playbooks, reporting templates, and spreadsheet-based workflows to improve risk management processes and cross-functional coordination.
• Highly self-directed, with demonstrated ability to think strategically, solve ambiguous problems, and independently drive initiatives from ideation through implementation. 
• Strong presentation and executive communication skills, including developing clear, concise materials for senior leadership and regularly presenting insights, recommendations, and progress updates. 

Nice to Have: 

• Experience with Model Risk Management or Model Governance, a plus! 
• Advanced working knowledge of Python for process automation, including writing maintainable code, testing solutions independently, and preparing them for production. ● Working knowledge of GitLab, DBT, and Airflow, including the ability to independently deploy, schedule, and maintain analytical workflows in production. 
• Proficient in Airtable, including designing automations and workflow trackers to be leveraged across multiple product teams.

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members
reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re
proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values
guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The Role

The Fraud Program is seeking a Staff Risk Analyst to lead data governance initiatives, analytics, and reporting across
the Fraud Center of Excellence (CoE). This role will serve as a key partner in developing, maintaining, and enhancing
fraud KPIs, KRIs, dashboards, and enterprise risk reporting to enable data-driven decision making and effective fraud
risk oversight.

The Staff Risk Analyst will play a critical role in ensuring data integrity, consistency, and transparency across fraud
metrics, while delivering actionable insights into fraud performance, emerging risks, and operational effectiveness
across all products and fraud domains.

This role will partner closely with Fraud Strategy, Operations, Risk, Data, and Business Intelligence teams to build
scalable analytics solutions, standardize metric definitions, and improve enterprise-wide visibility into fraud risk.
The ideal candidate will bring a strong technical data background, experience in risk analytics, and a passion for
building scalable data and reporting frameworks within a fast-paced fintech environment. Additionally, the
candidate will also have strong proficiency in SQL, Python, Snowflake, and Tableau. You’ll need to be a self-motivated
leader with the ability to drive cross-functional collaboration between all lines of business. IIf you love working with
data and have a passion for doing the right thing, we want to hear from you!

What you’ll do:

Fraud Data Analytics, Insights, and Data Governance (Primary Focus)
● Analyze fraud data across products and channels to identify trends, anomalies, and emerging fraud risks.
● Develop data-driven insights and recommendations to support fraud strategy, operations, and risk
management decisions.
● Partner with cross-functional teams to translate business problems into analytical solutions that improve
fraud detection, prevention, and member experience.
● Establish and enforce data governance standards for fraud metrics- including data definitions, lineage, and
controls; and effectively leading a strategic data governance council cross-functionally.
● Identify and resolve data quality, consistency, and availability issues impacting fraud reporting and
analytics.
● Partner with Data Engineering and BI teams to ensure reliable, scalable, and well-documented data
sources.
KPI / KRI Framework & Performance Monitoring
● Support the design, development, and ongoing enhancement of Fraud KPIs, KRIs, and Risk Appetite

Statement (RAS) metrics across the Fraud CoE.

● Ensure consistent metric definitions, calculations, and reporting methodologies across business units.
● Monitor metric performance and provide insights into drivers of variance, trends, and risk signals.
Dashboarding & Reporting
● Assist in designing, building, and maintaining Tableau dashboards and automated reporting solutions to
provide real-time visibility into fraud performance.
● Deliver executive-level reporting and visualizations for fraud governance committees and leadership.
● Improve reporting efficiency through automation and scalable data pipelines (e.g., Snowflake), where
needed, in partnership with our risk analytics and data teams
Fraud Risk Management & Assessment Support
● Support Fraud Risk Self-Assessments (FRSA) and other risk evaluation activities through data analysis and
metric development.
● Assist in identifying key risk drivers and areas of elevated fraud exposure across products and processes.
● Provide analytical support for audit, regulatory, and risk management requests.
Cross-Functional Collaboration & Program Support
● Collaborate with Fraud Strategy, Operations, and Program teams to align data, metrics, and reporting with
business needs.
● Support broader Fraud Program initiatives and analytics projects as needed, including strategy
performance analysis and operational insights.

What you’ll need:

● 4+ years of experience in data analytics, fraud analytics, or risk analytics within financial services, fintech, or
banking.
● Strong experience working with large datasets and relational databases.
● Advanced proficiency in SQL and experience with Snowflake or similar data platforms.
● Experience building dashboards and data visualizations (Tableau preferred).
● Strong understanding of KPI/KRI frameworks, performance metrics, and risk monitoring concepts.
● Experience with data governance, data quality management, or metric standardization.
● Strong analytical and problem-solving skills with the ability to translate complex data into actionable
insights.
● Excellent communication skills, with the ability to present findings to both technical and non-technical
stakeholders.
● Ability to work cross-functionally and manage multiple priorities in a fast-paced environment.
● Proficient in other programming and data analysis tools such as Python, R, or SAS.

Nice to Have:
● Advanced degree in Data Science or Machine Learning.
● Experience in implementing or overseeing AI/ML-based models for fraud detection
● Experience working in or working closely with model risk management is a plus.

The role:

We are looking for a Senior Data Scientist and/or Machine Learning Model Developer to join our Fraud Model Development Team. This role owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products including Personal Loans, Student Loans, Credit Cards, and Crypto.

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false positive improvements within assigned domains. This individual partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy, inform risk tolerance decisions, and ensure models deliver sustained business impact.

This position requires deep expertise in data analytics, statistical modeling, and machine learning, along with the ability to translate complex model performance into clear business outcomes. The ideal candidate brings strong fraud domain knowledge, production ML experience, and a demonstrated ability to manage model risk and complexity at scale

What you’ll do:

The Senior Fraud Model Developer will help SoFi build and scale high-performing fraud modeling solutions by:

• Owning end-to-end development of fraud models within assigned product or risk domains, from problem framing through production deployment and ongoing monitoring
• Driving measurable reductions in fraud loss, false positives, and operational expenses
• Translating model outputs into business impact metrics and influencing fraud strategy decisions
• Aggregating and synthesizing datasets from multiple data environments to design scalable and reusable modeling frameworks
• Analyzing complex datasets to identify drivers of fraud loss and member friction across products
• Conducting trade-off analysis between fraud loss mitigation, customer experience, and regulatory guardrails
• Establishing and maintaining model monitoring standards (e.g., performance metrics, drift detection, recalibration cadence) to proactively manage model risk
• Investigating external risk data and emerging fraud patterns to inform roadmap prioritization
• Partnering with ML Platform teams to productionize models in AWS and improve lifecycle governance
• Reducing model development cycle time by simplifying processes, improving documentation rigor, and creating reusable components
• Handling escalations related to model performance, risk exposure, or business impact within assigned scope
• Influencing roadmap sequencing and contributing to prioritization discussions based on ROI, regulatory considerations, and level of effort

What you’ll need:

• 7+ years of advanced quantitative modeling experience, or
• Master’s degree and 5+ years of related experience, or
• PhD and 3+ years of related experience, or
• Equivalent practical experience
• Demonstrated ownership of production machine learning models with measurable impact on fraud loss or false positive reduction
• Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau)
• Strong knowledge of statistical methodologies and machine learning techniques (e.g., regression, decision trees, gradient boosting, random forests, neural networks, clustering analysis)
• Experience designing, validating, and monitoring models using metrics such as AUC, KS, precision/recall, and drift detection
• Ability to independently determine modeling approaches, manage trade-offs, and execute solutions with minimal guidance
• Experience partnering cross-functionally with Risk, Fraud Ops, Engineering, Finance, and Compliance stakeholders
• Strong communication skills with the ability to distill complex technical concepts into clear business recommendations
• Demonstrated ability to manage risk exposure within projects and proactively escalate with proposed solutions
  
  

Nice to have:

• Direct experience in fintech, banking, payments, or digital fraud risk
• Familiarity with graph databases and network-based fraud detection
• Experience developing and deploying models in AWS environments
• Experience influencing fraud policy or risk tolerance decisions