Scale is at the forefront of powering artificial intelligence. We believe that trust in AI is earned with high-quality data for training, fine-tuning, and evaluating AI systems. Our products are transforming how organizations build and deploy AI. Our customers are the world’s most innovative model developers and enterprise and public sector entities looking to apply AI in their organizations and institutions.

We're looking for an Industrial Security Specialist who will play a vital role in supporting personnel security, physical security and program support. The ideal candidate brings strategic and operational experience, a security-first mindset, and a willingness to engage directly with customers, employees and stakeholders. If you're excited by ensuring the integrity and protection of national security, we invite you to apply.

This Industrial Security Specialist will report to the Industrial Security team with close collaboration with GRC, Workplace, and cross-functional teams to support the Public Sector security strategy for Scale. 

You will:

• Balance the timelines and requirements of US Government contracts while supporting Scale AI Public Sector efforts, accredited facilities, and sensitive R&D initiatives
• Assist in the development and execution of security education and awareness programs
• Conduct audits and inspections to ensure compliance with DoD and company policies
• Support all aspects of personnel security management in working directly with government partners to ensure compliance
• Initiate, review, and submit electronic background investigations to DCSA
• Responsible for mandatory USG reporting as it relates to our personnel, facility, and insider threat programs
• Assists in the protection of government, intellectual, third party and company information from unauthorized disclosures
• Conduct security briefings, debriefings, and annual refresher training for cleared employees
• Ensure frameworks are met for NISPOM, ICDs, SAPs, OPSEC, Insider Threat and continuous evaluation programs.
• Prepare, send, and receive visitor certifications
• Review performance work statements (PWS) or Statements of Work (SOW) for contracts and ensure properly executed DD Form 254s. 
• Coordinate incident response and reporting for security violations or concerns.

Ideally you'd have:

• Active U.S. DoD Top Secret, and willingness to obtain a TS/SCI
• Familiarity with USG information systems, such as DISS, NBIS, NISS, SWFT, e-App
• Experience assisting with the implementation and maintenance of a relevant industrial security program
• Must be able to support work 2-3 days a week from the office
• Knowledge of industrial security procedures (NISPOM, ICDs, other DoD/IC regulations and procedures)

Nice to haves:

• Excellent written and verbal communication- able to align with security strategy, IT and executive teams
• Adaptability and Learning Agility: Willingness to quickly grasp and apply new concepts and stay up-to-date with emerging trends in industrial security
• Willingness to work in a dynamic, high-growth company where speed, adaptability, and judgment are essential
• FSO Program Management for Possessing Facilities certification

THE ROLE:

As a Director of Enterprise Systems Engineering, you will lead and inspire a high-performing team of Pre-Sales Systems Engineers who partner closely with sales to drive strategic outcomes for our customers. You’ll be responsible for setting technical vision, developing top SE talent, and aligning Pre-Sales strategy with Everpure’s go-to-market priorities. This is a highly visible leadership role for someone who thrives at the intersection of technology, customer impact, and team development—and who is excited to help shape the future of data storage.

WHAT YOU’LL DO:

Help grow revenue within the region

The successful candidate will join a high performing region and have the unique opportunity to work alongside a Regional Sales Director to define and execute the future strategy of the region for the Central Enterprise Business.

• Work with the sales and pre-sales leadership to establish and track progress against a plan for creating long-term, sustainable growth.
• Engage directly with pre-sales and sales leadership to strategize on the team's opportunities and ensure the correct engagement on pre-sales activities
• Lead, report and the analyze the pipeline and forecast from a technical perspective

Provide Organizational Leadership

• Retain, hire and lead a world class team of SE Managers and Systems Engineers, helping to ensure technical success throughout the sales process
• Develop, improve, and maintain resources, ensuring they are efficiently deployed to successfully meet and exceed the company’s sales goals whilst also supporting a broad range of customer and partner needs.
• Help ensure that all available overlay team resources are aligned to the regions’ success
• Mentor/coach and conduct regular 1:1’s with team members to provide constructive feedback and skills development
• Ensure that every employee has a set of goals and Individual Development plan

Alignment, Cooperation and Partnership

• Ensure alignment of technical message and approach across the overlay functions inc. Partner Technical Managers, Data Architects, PSE, FSA, CTO, CX and PS organizations
• Build relationships and alignment with technical equivalents within regional Alliance and Channel partners
• Build and maintain your network both within and outside of Everpure

Maintain the Culture

Possibly, the hardest, but most important part of the role. Everpure has a unique culture that has driven our success. As we transition from a startup to a company focused on sustaining growth, we need to work hard to balance the demands of the business with the culture of the company.

• Be the custodian of, and live the, values of Everpure
• Recognize and reward outstanding behaviors and success within the team
• Undertake regular team building events as appropriate

WHAT YOU BRING:

Intellectual Curiosity

• Interact with customers, partners  and prospects to understand their business challenges and engagement in pre-sales process
• Understand the big picture, industry trends and our competition
• Self Development - Technical, Leadership & Soft skills 

Communicate Effectively

• Cascade communication and goals throughout your teams
• Leverage the field management process to build strong working relationships with cross functional teams to ensure alignment between pre and post sales activities, whilst ensuring solutions are implemented and supported in-line with client expectations
• Understand and communicate technical issues and/or enhancement requests from customers back to technical support, product management and R&D

Adapt and Adjust

• Be a keen observer. Effectively analyze the results of employee actions and take notice of any shortcomings that could be detrimentally affecting overall productivity
• Adapt to changes and quickly make adjustments to operations as needed
• Self-starter and highly motivated.

Active Contributor

• Be the executive sponsor in the region for a selection of larger opportunities
• Participate in regional industry events/organizations as a thought leader
• Promote products and business solutions at conferences, forums, and seminars.

Have Strong Ethics and Personal Integrity

• Treat people with respect at all time
• High degree of accountability and ownership
• Care about the company and our people

Experience

• 15+ year’s experience in a field Pre-sales position
• Experience leading a team with direct management responsibilities in a large geography
• Must have previous experience supporting the growth of a rapidly expanding organization and managed initiatives aimed at achieving 20% revenue growth
• Willingness to travel as needed on a regular basis

#LI-REMOTE

#LI-JL4

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Position Summary

The Investment Strategy Associate educates internal and external stakeholders to provide clarity, insights, and confidence with regards to investment philosophy, solutions, and markets. This position provides analytical services and investment strategy support to Focus Partners advisory community as well as other business lines. This position will primarily provide portfolio and investment analysis support. The ideal candidate will be a collaborator who gets energy from collaborating with our advisory community, creating high-level analytical work, and meeting project and task deadlines. 

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader.

Primary Responsibilities

• Engage with advisors to provide investment strategy expertise and insight on portfolio design and fund selection
• Use a combination of Microsoft Excel, Bloomberg, Morningstar, and internal database tools to perform analyses and support the advisor as they prepare for client meetings.
• Provide support for advisors crafting an investment policy statement for a client
• Help update and maintain investment strategy collateral
• Support, maintain, and serve as a technical resource for portfolio analysis tools and internal databases
• Support Focus Partners’ thought leaders through data collection and independent research
• Utilize investment strategy tool sets to support advisors, including proprietary software and data sources
• Demonstrate an understanding of our investment strategies, policies, and procedures 

Qualifications

• 1+ Years of work experience in an investment-related position 

Education/Training 

• B.S. Accounting, Economics, Engineering, Finance, or Math
• Interest in pursuing CFA Charter (or comparable certifying exam) preferred 

Knowledge, Skills, and Abilities 

• Proficient in Microsoft Office applications; excellent Excel skills
• Ability to calculate and interpret investment statistics, including annualized return, standard deviation, and Sharpe ratio
• Bloomberg and/or Morningstar Direct experience preferred
• Excellent quantitative and analytical skills
• Ability to communicate complicated financial topics clearly and simply
• Ability to manage multiple priorities and meet deadlines
• Committed to superb client service 
• Professional attitude and demeanor 

This position is a non-exempt position. The annualized base pay range for this role is expected to be between $68,000 - $70,000/year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package. 

#LI-CB1

Position Summary

The Investment Strategy Associate educates internal and external stakeholders to provide clarity, insights, and confidence with regards to investment philosophy, solutions, and markets. This position provides analytical services and investment strategy support to Focus Partners advisory community as well as other business lines. This position will primarily provide portfolio and investment analysis support. The ideal candidate will be a collaborator who gets energy from collaborating with our advisory community, creating high-level analytical work, and meeting project and task deadlines. 

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 day per week, or as assigned by their team leader.

Primary Responsibilities

• Engage with advisors to provide investment strategy expertise and insight on portfolio design and fund selection
• Use a combination of Microsoft Excel, Bloomberg, Morningstar, and internal database tools to perform analyses and support the advisor as they prepare for client meetings.
• Provide support for advisors crafting an investment policy statement for a client
• Help update and maintain investment strategy collateral
• Support, maintain, and serve as a technical resource for portfolio analysis tools and internal databases
• Support Focus Partners’ thought leaders through data collection and independent research
• Utilize investment strategy tool sets to support advisors, including proprietary software and data sources
• Demonstrate an understanding of our investment strategies, policies, and procedures 

Qualifications

• 1+ Years of work experience in an investment-related position 

Education/Training 

• B.S. Accounting, Economics, Engineering, Finance, or Math
• Interest in pursuing CFA Charter (or comparable certifying exam) preferred 

Knowledge, Skills, and Abilities 

• Proficient in Microsoft Office applications; excellent Excel skills
• Ability to calculate and interpret investment statistics, including annualized return, standard deviation, and Sharpe ratio
• Bloomberg and/or Morningstar Direct experience preferred
• Excellent quantitative and analytical skills
• Ability to communicate complicated financial topics clearly and simply
• Ability to manage multiple priorities and meet deadlines
• Committed to superb client service 
• Professional attitude and demeanor 

This position is a non-exempt position. The annualized base pay range for this role is expected to be between $68,000 - $70,000/year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package. 

#LI-CB1

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

The Work: 

The Senior Data Analyst plays a critical role in the application migration team by leveraging data to drive informed decision-making throughout the migration process. This position is responsible for compiling and analyzing complex datasets, maintaining comprehensive reports, and presenting actionable insights to stakeholders. The Senior Data Analyst works within Agile frameworks to support the team's data-driven approach to application assessment, migration planning, and post-migration evaluation.

Key Responsibilities

• Collect and consolidate data from various sources related to application performance, usage, and migration progress
• Ensure data quality, integrity, and consistency across all datasets
• Conduct in-depth analysis of application data to identify patterns, trends, and potential issues
• Perform statistical analysis to support decision-making in the migration process
• Design and create comprehensive reports on various aspects of the migration project
• Develop dashboards and visualizations to effectively communicate complex data insights
• Maintain and update regular reports on migration progress, performance metrics, and KPIs
• Create compelling visual representations of data findings using tools like Tableau, Power BI, or similar
• Present data-driven insights and recommendations to technical and non-technical stakeholders
• Develop and deliver presentations on migration analytics to various levels of the organization
• Conduct pre- and post-migration comparisons to evaluate the success of migration efforts
• Provide data-driven insights to support decision-making at all levels of the project
• Define and track key performance indicators (KPIs) for the migration project
• Develop metrics to measure the success and efficiency of the migration process
• Create and maintain scorecards to track progress against project goals
• Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)
• Collaborate with Product Owners to define and refine data-related user stories

Requirements:

• Bachelors degree and minimum 5 years experience
• Secret Security Clerance required
• Demonstrated experience working with business stakeholders to understand business process, pain points, and insights that will deliver greatest value to the mission
• Building and maintaining visualizations and dashboards in enterprise Business Intelligence tools (such as Tableau, PowerBI, Qlik, Microstrategy) or custom coding (D3, React, CSS)
• Performing complex data pre-processing (joins, unions, aggregations) using tools and languages like SQL, R, or Python

#c"" "You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"

Position Summary

The Director of Data Analytics will help lead the FP&A and data analytics strategy for the wealth management business, transforming client, advisor, operational, and financial data into actionable insights that improve growth, advisor productivity, and business performance. This role will partner closely with advisory, investment, operations, technology, compliance, and finance team members to build scalable reporting, strengthen data governance, and advance a more data-driven organization. The Director will help build scalable reporting frameworks for billable client assets and firm-level performance benchmarking.

This position will be an integral contributor to the company’s FP&A and data analytics.

This reports to the VP of FP&A and Data Analytics.  

This role can be located in New York, NY; New Hyde Park, NY; St. Louis, MO

Primary Responsibilities

• Help build and develop a high-performing finance data analytics team responsible for dashboards, KPI reporting, ad hoc analysis, business intelligence, and advanced analytics.
• Partner across all business disciplines to improve data quality, establish common definitions, and enable trusted analytics across CRM, portfolio reporting systems and billing systems.
• Deliver meaningful reporting across client trends, segmentation, productivity, profitability, and retention metrics.
• Navigate the firm's data warehouse capabilities, ensuring clean integration of data to our Enterprise Resource Planning (ERP) system and other reporting platforms.
• Identify and implement opportunities to use predictive analytics and AI to improve process automation.
• Drive adoption of self-service analytics tools, data literacy, and a culture of evidence-based decision-making across the finance organization.
• Establish strong standards for governance, date quality, and privacy to support regulatory, risk, and audit requirements.
  
  

Qualifications         

• Bachelor’s degree in data science, statistics, finance, computer science, or a related quantitative field
• 7 to 10 years of progressive experience in data analytics in a large and complex environment
• Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar)
• Excellent communication, collaboration, and leadership skills, with the ability to explain complex analyses to non-technical audiences.
• Demonstrated understanding and experience in financial services.
• Familiarity with cloud data platforms (Snowflake, Databricks, Azure Synapse).
• Familiarity with Workday ERP and Adaptive Planning.
• Experience implementing predictive analytics, machine learning, or self-service analytics programs in a regulated environment.

#LI-KJ2

This position is an exempt position. The annualized base pay range for this role is expected to be between $160,000-$200,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

Data Scientist - MID

Location: Springfield, VA 

TS/SCI REQUIRED

Position Responsibilities:  

• Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.  
• Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.  
• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.  
• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.  
• Conduct extensive collections and analytic modeling, data processing,  

Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.