Summary: Seeking an experienced contractor with extensive expertise in scripting, server configuration, and infrastructure management to support and optimize the Department WIC data system and associated applications. This role involves daily technical support, troubleshooting, and enhancing system performance through strategic recommendations.

Responsibilities:

• Conduct daily development and technical support for the Department WIC data system and interfaces, including EBT system and other applications.
• Troubleshoot and provide solutions for daily processing and development issues.
• Maintain and submit documentation on system performance, including maintenance and process corrections.
• Identify and recommend operational efficiencies to enhance system performance.
• Conduct evaluations of new software or hardware and recommend technologies to support business processes.
• Analyze and document technical requirements for system fixes, modifications, and enhancements.
• Produce work plans for implementing infrastructure requirements for system platform improvements.
• Create scripts for system fixes, modifications, enhancements, interfaces, and integration processes.
• Conduct and document testing results for system modifications and enhancements.
• Produce documentation for system modifications and enhancements as required.

Qualifications:

• Minimum of ten years in scripting and infrastructure management using PowerShell, SQL, Python, and MS batch scripts.
• Ten years of experience in configuring Windows server installations and applying security best practices.
• Five years of experience with Infrastructure-as-Code (IAC) using platforms such as Kubernetes, Helm, and Ansible.
• Five years with Microsoft SCCM or Intune and management of end-user workstations.
• Five years supporting Linux/BSD server installations.
• Five years of experience with Active Directory and group policies.
• Five years of experience supporting business applications in cloud-native architectures.
• Understanding of network protocols, topologies, VLANs, subnets, and route tables.
• Exceptional logical troubleshooting skills and self-motivation, evidenced by career achievements or advancements.

Ll:#Onsite 

At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets.

IEM is currently seeking a Quality Systems Technician for our Jacksonville FL. locations and will report into the Quality Systems Leader. The Quality Systems Technician plays a key role in supporting the development, implementation, and maintenance of digital quality systems, smart tools, and quality infrastructure. Reporting to the Lead Quality Systems Engineer, this role focuses on setting up systems, troubleshooting technical issues, and enabling the smooth integration of quality processes within manufacturing operations.

Please note: This position requires 100% in-office presence in our Jacksonville offices and does not offer remote work.

Key Responsibilities:

• Support the setup, configuration, and validation of quality systems, including smart tools, AI cameras, and digital inspection devices.
• Assist in troubleshooting issues related to EQMS platforms, smart inspection systems, and quality data capture tools.
• Work with engineering, IT, and quality teams to integrate new tools and systems into production processes.
• Help build and maintain process flows, control plans, and digital documentation related to quality system infrastructure.
• Support the digitization, automation, and standardization of quality and traceability records, including inspection data, testing logs, serialization records, and process verification checkpoints.
• Contribute to the creation and refinement of standard operating procedures (SOPs), work instructions, and user guides related to quality systems.
• Participate in pilot runs and process trials to validate functionality and integration of smart quality tools.
• Monitor system performance and escalate recurring issues or improvement opportunities.
• Maintain accurate documentation of setups, system changes, and configuration parameters.
• Provide technical support to shop floor users to ensure quality systems are functioning correctly.
• Assist in quality-related training sessions for new tools or systems implementation.
• Coordinate with vendors or suppliers when technical support or software updates are needed for system hardware or software.
• Perform other duties as needed to support the implementation and sustainability of quality system initiatives.
• Ability to develop & update programs and scripts for data validation, data sorting, automation, and creation of dashboards and visual reporting tools. 
• Familiarity with serialization, traceability systems, digital quality records, and manufacturing data management principles is strongly preferred.

Qualifications:

• Diploma or technical certification in Quality, Engineering Technology, Mechatronics, or a related technical field.
• 2+ years of experience in a manufacturing or engineering support role, preferably with exposure to quality or production systems.
• ⁠Experience with programming, scripting, or data visualization tools such as Python, SQL, VBA, or similar platforms is considered an asset.
• Familiarity with EQMS platforms, process automation, or smart inspection technologies is an asset.
• Strong troubleshooting and problem-solving skills in both hardware and software environments.
• Ability to read technical drawings, flowcharts, and system diagrams.
• Comfortable working in a cross-functional environment with engineering, IT, and operations teams.
• Proficient in Microsoft Office and experience with digital tools used in quality systems.
• Good communication skills and a detail-oriented mindset.
• Knowledge of lean manufacturing or six sigma principles is a plus.
• 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 

Working Conditions:

• Split between office and shop floor environments.
• May require light hands-on work for system setup, testing, and troubleshooting.

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. 

Senior Manager, Data Science

Portfolio Management and Loss Mitigation

The Role: 

SoFi is seeking an inspirational and deeply experienced Senior Manager to lead the Portfolio Management and Loss Mitigation function in our Risk Data Science team. Reporting to the Head of Risk Data Science, this role will lead the development, deployment, and governance of portfolio management and loss mitigation models for all credit products.

The ideal candidate is a hands-on leader who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve portfolio performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence stakeholders, and proven success in delivering complex models into a regulated production environment.

What You'll Do: 

• Portfolio Management and Loss Mitigation Excellence: Directly oversee the development and deployment of Next Generation models designed to manage and mitigate portfolio losses while maintaining loss guardrails.
• Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply.
• Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (Macro-Economic variables, tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products.
• Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture.
• Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory).
• Stakeholder Alignment: Interact and negotiate with senior management and external stakeholders to reconcile competing views and drive critical, high-impact business decisions.
• Automation and Efficiency: Lead efforts to automate model monitoring and governance processes to create scalable and auditable infrastructure.

What You'll Need:

• Experience: 8+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 3 years in a people management role, managing technical staff.
• Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.).
• Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference).
• Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment.
• Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS).
• 3+ years of progressive people management experience is required, including the ability to recruit, mentor, and foster talent within a team of high-performing Staff and Senior Data Scientists.
• Communication: Ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership.

The Role: 

SoFi’s Fraud Management team is looking for a data-driven analyst to bridge the gap between risk mitigation and member advocacy.  This role is dedicated to identifying and offboarding "bad actors" already on the books before they can inflict further financial or reputational damage, and how the subsequent fraud and dispute process impacts our members.  While we remain member-centric, this role acknowledges that the best way to serve our legitimate members is to remove the bad ones. 

Your mission is twofold: Protect the House by identifying and offboarding high-risk actors, and Empower the Member by driving NPS and First Call Resolution (FCR) through rigorous root-cause analysis.

What You'll Do: 

{30%} NPS & Sentiment Analytics: Analyze member feedback and Net Promoter Scores (NPS) specifically related to fraud and dispute touchpoints. You will identify "friction points" where our security protocols may be alienating legitimate members and recommend data-driven adjustments.

{25%} Process & Data Analysis: Conduct comprehensive forensic analysis of existing fraud and dispute workflows. You will use SQL and behavioral data to identify "sleeper" accounts and high risk members, while simultaneously pinpointing bottlenecks that negatively impact NPS and FCR.

{25%} Member Exit Execution: Apply data-driven criteria to identify high-risk members for offboarding. You will prepare the data sets for adverse action, ensuring we exit "bad members" based on clear evidence of behavioral or dispute-related risk.  Reporting on impacts to the business.

{10%} Business Case Development: Prepare cost-benefit analyses that justify the prioritization of fraud prevention and member experience. You will quantify the ROI of a "Member-First" friction reduction strategy, showing how improved FCR and NPS lead to higher member retention, reduce complaints, and lower operational costs.

{10%} Strategic Maintenance & Pipeline Discovery: Continuously monitor the "health" of the fraud and dispute ecosystem. You will identify and document a backlog of new opportunities for risk reduction and experience improvement, ensuring stakeholders are aware of emerging trends that require future attention.

What You’ll Need:

• Bachelor or advanced degree in Statistics, Business Analytics, Math or Economics.
• Strong data technical skills on databases, Excel/SQL/Python and data dashboard tools. 
• Able to use different types of data to define business needs
• Highly motivated to drive change, eager to learn and create new things from scratch and able to work collaboratively in a complex and fluid environment.  
• Experience of developing analysis structure using different data sources and analytical methods to meet business needs.
• Capability of defining and building business metrics and dashboard infrastructures and know how to automate the manual process to improve efficiency.
• Able to connect the dots between data and businesses to provide meaningful insights and actionable enhancements.
• Knows how to troubleshoot data and metrics gaps and be innovative to solve both technical and business problems 
• Very strong communication skills by connecting the dots with the big picture with data and facts to support the story.

The Role

This role sits within the Fraud Management Center of Excellence (COE) and is responsible for defining and executing fraud strategies and policies to minimize debit and credit card losses while delivering an exceptional member experience.

The Director of Card Fraud owns key strategic focus areas and contributes to broader departmental strategy. This leader will provide thought leadership to develop best-in-class policies across card declines, verification strategies, dispute intake, and dispute resolution—while ensuring compliance with applicable regulations.

What You’ll Do

• Develop and implement fraud strategies to mitigate card fraud, including unauthorized transactions, merchant disputes, provisional credit policies, and dispute resolution
• Lead and develop a team of individual contributors and managers, including hiring, performance management, and career development
• Partner cross-functionally with Fraud Analytics, Operations, Product, Engineering, and business leaders to implement fraud prevention strategies
• Build and enhance analytical frameworks and metrics to proactively identify, quantify, and assess fraud risk
• Lead investigations into suspected fraudulent activity, coordinating with internal and external stakeholders
• Make final decisions on strategy implementation and ensure operational effectiveness for the Card Fraud function
• Establish and maintain a fraud risk management framework, including policies, procedures, and controls
• Ensure compliance with applicable regulations and industry standards, including Regulation E and Regulation Z
• Analyze fraud trends and emerging patterns to inform proactive mitigation strategies

What You’ll Need

• 10+ years of experience in fraud risk management, financial crime investigations, or a related field
• Strong subject matter expertise in debit and credit card fraud and disputes
• 5+ years of people management experience
• Strong analytical and problem-solving skills, with the ability to analyze complex data and identify patterns
• Proficiency in data analysis tools and languages such as SQL, Python, or R
• Excellent written and verbal communication skills, with the ability to clearly articulate findings and recommendations

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

Overview

The Contact Platform Engineer is a strategic technical lead focused on the evolution of SoFi’s omni-channel interaction stack. This role serves as the primary architect and data researcher for the member journey and may perform system configuration as needed.

The successful candidate will mine historical IVR and chat data to identify customer friction points and translate those insights into high-level blueprints. You will act as the bridge between Operations and Engineering, designing the "what" and "why" so that technical teams can execute the "how".

Expertise Breakdown

• Data Mining & Friction Analysis (40%): Identifying trends in IVR/Chat performance and agent-handled friction.
• Solutions Architecture & Blueprinting (40%): Designing the technical workflows and cross-functional requirements.
• Strategic Collaboration (20%): Partnering with Engineering and Ops to drive the roadmap.

Core Responsibilities

Insight Engineering & Data Mining (40%)

• Analyze historical IVR, chatbot, and transcript data to identify why members are failing to self-serve.
• Go beyond platform metrics to identify "friction-heavy" call/chat types that require high agent effort.
• Quantify the business impact of proposed enhancements using data-driven projections.
• Monitor post-launch performance to validate that designed blueprints achieved intended friction reduction.

Solutions Architecture & Blueprinting (40%)

• Translate identified operational gaps into comprehensive technical blueprints and interaction flows.
• Define the "Definition of Ready" for Engineering partners, including detailed requirements and logic maps.
• Conduct design sessions to ensure proposed solutions are scalable and aligned with enterprise standards.
• Front-end configuration on contact platforms, as needed.

Strategic Collaboration (20%)

• Lead cross-functional meetings with Product, Engineering, and Operations to align on project scope and needs.
• Act as the subject matter expert (SME) during the development lifecycle demonstrating product expertise to clarify architectural intent and product and member benefits.
• Maintain the long-term roadmap for contact platform enhancements based on emerging member needs.

Qualifications

• 5+ years of experience in systems architecture, business intelligence, or operations technology.
• Expert-level Analytical Skills: Proficiency in mining data from telephony or CCaaS platforms to find the "story" behind the metrics.
• Demonstrated Blueprinting Experience: Ability to create professional system diagrams and workflow logic for Engineering hand-offs.
• Strong Communication: Ability to "translate" between high-level business problems and deep technical requirements.
• Platform Knowledge: Familiarity with modern CCaaS/Chatbot capabilities is required to design effectively, though hands-on configuration is not part of this role.
• Preferred Bachelor degree or technical discipline or 5+ years of relative experience 
• Preferred contact analysis platform, voice bot, DataGrip, SQL & BI platforms

The Role:

SoFi is searching for a North America Payroll Manager to lead and scale our payroll operations across the United States and Canada. This is a strategic Individual Contributor (IC4) role that blends deep technical expertise with operational leadership. You will be responsible for ensuring the accurate, timely, and compliant delivery of payroll for our growing workforce while serving as a subject matter expert in advanced payroll technologies and data analytics.

This role is critical to ensure a seamless employee experience, maintaining regulatory compliance, and enabling scalable growth through automation and operational excellence. 

As an IC4-level professional at SoFi, you are expected to operate with autonomy,  applying deep domain expertise to solve complex problems, influence functional strategy, and drive outcomes for cross-functional impact.  

What You'll Do:

Payroll Operations & Compliance

• Oversee End-to-End Processing: Manage day-to-day payroll activities for the US and Canada, ensuring accurate payments, tax withholdings, and reporting.
• Regulatory Subject Matter Expert: Ensure strict compliance with federal, state, local, and provincial wage and hour laws (FLSA, etc.), and manage quarterly/annual tax filings including W-2 and T-4 preparation.
• Audit & SOX Control: Support internal and external audits by maintaining rigorous SOX controls, audit trail documentation, and payroll risk assessments.
• Proactively identifying compliance risks and implementing controls and process improvement to mitigate exposure. 
• Ensure data integrity across payroll, HRIS, and downstream financial systems. 

Technical Leadership & Innovation

• System Optimization: Serve as a functional owner for Workday Payroll, Time Tracking, and Absence. Collaborate on system upgrades, integrations, and bi-annual feature releases.
• Global Integration: Manage relationships with external providers like CloudPay for international payroll and Fidelity for 401(k) and equity administration.
• Data Transformation: Leverage ETL tools (Alteryx, SQL, Python) to automate manual workstreams, build advanced workforce dashboards, and provide actionable insights into labor costs and overtime trends.
• Continuously evaluate and implement technology solutions to modernize payroll operations and reduce manual intervention. 

Strategy & Relationship Management

• Influence Strategy: Help create and drive functional strategy within the payroll team based on business needs.
• Cross-Functional Partnership: Build trust and common ground with stakeholders in HR, Finance, IT, and Legal to ensure seamless data flows and resolve complex discrepancies.
• Team Mentorship: While an Individual Contributor role at the IC4 level, you will provide guidance, training, and "informal leadership" to payroll processors and specialists to upskill the function.

What You'll Need:

Experience & Education

• Education: Bachelor’s degree in Accounting, Finance, or a related field.
• Experience: 7+ years of progressive experience in multi-state and Canadian payroll functions.
• Certifications: Certified Payroll Professional (CPP) or equivalent is strongly preferred.

Technical Skills

• Core Systems: Deep proficiency in Workday Payroll administration and configuration (Business Processes, Report Writer).
• Advanced Analytics: Hands-on experience using Alteryx, SQL, or Python for data manipulation and process automation.
• Third-Party Tools: Experience with CloudPay and Fidelity NetBenefits preferred.
• Strong understanding of payroll accounting, general ledger impacts, and reconciliation processes. 

Competencies

• Complexity: Ability to solve unique problems of significant, complex scope and generate innovative approaches to resolution.
• Independent Judgement: Ability to operate autonomously in setting priorities and executing solutions with minimal guidance on overall department strategy.
• Communication: Skilled at distilling complex concepts and facilitating dialogue among senior leadership and cross-functional partners.
• High attention to details and commitment to accuracy in a highly regulated environment. 
• Demonstrated ability to influence and drive alignment across cross-functional stakeholders.