Vericast

Transform complex data into strategic insights to optimize marketing and business growth for financial institutions. | Proficiency in SQL, Python or R, data visualization tools, and experience in marketing analytics within the financial services industry. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. Job Description We are seeking an experienced Senior Data Analyst to join our Insights and Analytics team, where you will transform complex data into strategic insights that drive marketing effectiveness and business growth for financial institutions. This role combines analytical excellence with business acumen to optimize marketing investments, enhance digital customer experiences, and inform data-driven decision-making across the organization. As a key member of our team, you'll work at the intersection of marketing science, digital analytics, and financial services expertise, delivering actionable insights that directly impact campaign performance, customer engagement, and ROI optimization. KEY DUTIES/RESPONSIBILITIES  Strategic Analysis & Insights: Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities; Design measurement frameworks and learning agendas that align with business strategies and marketing objectives; Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels; Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions (30%)  Digital & Marketing Analytics: Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities; Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels; Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences; Leverage tag management systems to ensure accurate data capture and tracking implementation (30%)  Data Visualization & Communication: Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker; Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams; Present strategic recommendations that drive action and influence stakeholder decisions; Create automated reporting solutions providing real-time visibility into marketing performance and KPIs (20%)  Collaboration & Project Management: Partner with cross-functional teams including Product, Engineering and Strategy to deliver integrated insights; Manage multiple concurrent analytical projects ensuring timely, high-quality delivery; Collaborate with teams to improve digital customer journeys and campaign effectiveness based on data insights (20%) Qualifications EDUCATION  Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field  Master's degree preferred EXPERIENCE  5-9 years of progressive experience in data analysis, marketing analytics, or advanced analytics roles  Proven experience in financial services industry or working with financial institutions strongly preferred  Track record of delivering impactful insights that influenced strategic business decisions KNOWLEDGE/SKILLS/ABILITIES  Analytics Platforms: Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms  Programming & Analysis: Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation  Data Visualization: Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards  Database Technologies: Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred  Marketing Technology: Familiarity with marketing automation platforms, CRM systems, and tag management implementation Additional Information Base salary: $110,000-$140,000 *Applications will be accepted through January 10, 2026, after which the posting will be closed and no longer available for submissions.* The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-KK1 #LI-REMOTE

Lead analysis of large datasets, develop measurement frameworks, conduct attribution modeling, and create strategic insights to influence business decisions. | Requires 5-9 years of experience in data analysis or marketing analytics, proficiency with SQL, Python or R, and experience with digital analytics platforms and dashboards. | Job Description: • Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities • Design measurement frameworks and learning agendas that align with business strategies and marketing objectives • Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels • Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions • Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities • Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels • Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences • Leverage tag management systems to ensure accurate data capture and tracking implementation • Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker • Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams • Present strategic recommendations that drive action and influence stakeholder decisions • Create automated reporting solutions providing real-time visibility into marketing performance and KPIs • Partner with cross-functional teams including Product, Engineering, and Strategy to deliver integrated insights • Manage multiple concurrent analytical projects ensuring timely, high-quality delivery • Collaborate with teams to improve digital customer journeys and campaign effectiveness based on data insights Requirements: • Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field • Master's degree preferred • 5-9 years of progressive experience in data analysis, marketing analytics, or advanced analytics roles • Proven experience in financial services industry or working with financial institutions strongly preferred • Track record of delivering impactful insights that influenced strategic business decisions • Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms • Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation • Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards • Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred • Familiarity with marketing automation platforms, CRM systems, and tag management implementation. Benefits: • N/A

Lead and expand Vericast's programmatic advertising capabilities, including platform evaluation, infrastructure development, and campaign execution, with a focus on compliance and performance in financial services. | 8+ years of programmatic advertising experience, deep expertise with multiple DSPs, experience with large media budgets, and understanding of financial services compliance requirements. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. Job Description The Director of Programmatic Media is a strategic leadership role responsible for establishing and scaling Vericast's direct programmatic advertising capabilities as part of our evolution into a full-service performance marketing agency for banks and credit unions. This role combines strategic vision with hands-on execution, requiring someone who can evaluate and onboard DSP partners, establish best practices, and build the foundation for a scalable programmatic practice that will become a cornerstone of our agency offering. Reporting to the VP of Agency Services, this position will lead the expansion of our programmatic infrastructure, including platform assessment and implementation, while supporting current campaign execution. The ideal candidate brings deep programmatic expertise from the financial services sector, understands the unique compliance requirements of bank and credit union marketing, and is energized by the opportunity to build new capabilities within an established organization. This is a critical hire supporting our 18-24 month roadmap to manage $100M+ in media under management. KEY DUTIES/RESPONSIBILITIES  Programmatic Infrastructure & Capability Expansion: Lead the evaluation, selection, and implementation of DSP partnerships (e.g., The Trade Desk, Google DV360, Amazon DSP) to expand Vericast's direct platform capabilities; Conduct comprehensive RFP/RFI processes to assess platforms based on client needs, technical capabilities, compliance features, and cost efficiency; Establish and strengthen direct platform relationships, negotiate contracts with DSP vendors, data providers, and verification partners; Design and document programmatic best practices, SOPs, and governance frameworks tailored to financial services compliance requirements; Build technical infrastructure roadmap including audience segmentation strategies, creative specifications, tracking systems, and reporting dashboards; Build attribution modeling capabilities that connect paid search performance to both online conversions and offline outcomes (branch visits, phone calls, in-person account openings), requiring sophisticated data curation and integration with client first-party data; Develop scalable processes that support both current campaign needs and future growth to $100M+ in media under management (40%)  Strategic Planning & Market Intelligence: Serve as internal subject matter expert on programmatic advertising trends, platforms, and innovation in financial services marketing; Develop programmatic service offerings and go-to-market positioning that differentiates Vericast from generalist agencies; Analyze competitive landscape and identify opportunities in programmatic for mid-market banks and credit unions ($2B-$50B assets); Partner with Product, Analytics, and Creative teams to integrate programmatic into omnichannel strategies leveraging Vericast's proprietary consumer financial data; Contribute to new business pitches and client presentations as programmatic SME when needed; Monitor industry developments in ad tech, privacy regulations, and platform changes to ensure Vericast stays ahead of the curve (25%)  Campaign Execution & Optimization: Provide hands-on support for programmatic campaigns, serving as an internal expert to optimize performance and guide strategic decisions; Execute tactical campaign setup, audience configuration, and in-flight optimizations as needed; Collaborate with Media Specialists and Data Analysts to ensure programmatic campaigns are properly tracked, attributed, and optimized toward client KPIs. Apply data-driven optimizationstrategies (bid management, creative testing, audience refinement) to improve ROAS and meet/exceed benchmarks; Ensure all programmatic campaigns comply with financial services regulations including UDAAP, Fair Lending, TCPA, CAN-SPAM, Reg Z, GLBA, and FCRA, as well as platform policies (e.g., Meta Special Ad Categories, Google Financial Services restrictions); Design and validate targeting methodologies, audience selection logic, and campaign strategies to proactively ensure regulatory compliance—not solely relying on platform guardrails (20%)  Cross-Functional Collaboration & Stakeholder Management: Partner with VP of Agency Services and SVP of Product & Engineering to align programmatic strategy with business objectives and technology roadmap; Work closely with Data Engineering and Analytics teams to integrate first-party data, website behavioral data, transaction data, and third-party segments into programmatic targeting and optimization strategies; Collaborate with Creative Services to define programmatic creative requirements and ensure assets are optimized for performance across display, native, CTV/OTT, and emerging formats; Educate internal stakeholders on programmatic capabilities, use cases, and value proposition for financial institution clients; Serve as liaison with Compliance and Legal to validate programmatic processes meet regulatory standards (10%)  Vendor & Partner Management: Build and maintain relationships with DSP account teams, leveraging partner resources for beta access, training, and co-marketing opportunities; Negotiate favorable terms, pricing structures, and SLAs with platform partners to maximize margin and service quality; Coordinate with ad verification vendors (IAS, DoubleVerify) and data partners (LiveRamp, TransUnion) to ensure measurement and targeting integrity (5%) Qualifications EDUCATION  Bachelor's Degree in Marketing, Advertising, Business, Data Analytics, or related field (Required)  Master's degree or advanced certifications (Preferred) EXPERIENCE  8+ years of hands-on programmatic advertising experience, including campaign management, platform optimization, and vendor negotiations (Required)  5+ years working with financial services clients (banks, credit unions, fintech, mortgage lenders, wealth management, or insurance), with demonstrated understanding of compliance requirements and audience targeting strategies in regulated industries (Required)  Proven track record of building or scaling programmatic capabilities, including platform implementations, infrastructure design, or significant program expansions (Required)  Deep expertise with multiple DSPs (e.g., The Trade Desk, Google DV360, Amazon DSP, Xandr, MediaMath) and demonstrated ability to evaluate platforms based on technical capabilities, transparency, and cost-efficiency (Required)  Experience managing large media budgets ($10M+ annually) with demonstrated ability to optimize toward performance KPIs (CPA, ROAS, engagement metrics) (Required)  Hands-on experience with programmatic display, native, CTV/OTT, and video (Required)  Expertise in audience segmentation, data onboarding (1st and 3rd party), identity resolution (LiveRamp, UID2.0), and attribution modeling (Required)  Agency experience strongly preferred; ideal candidate has worked at a performance marketing agency or trading desk serving financial services clients  Strong understanding of privacy regulations (GDPR, CCPA) and platform-specific advertising policies for financial services  Background in omnichannel strategy integrating programmatic with paid search, paid social, and direct mail is a plus  Demonstrated success with attribution modeling, offline conversion tracking, and connecting search performance to business outcomes beyond digital conversions KNOWLEDGE/SKILLS/ABILITIES  Technical Expertise: Expert-level knowledge of programmatic advertising ecosystems (DSPs, SSPs, DMPs, ad exchanges, ad servers); Proficiency in audience targeting methodologies: contextual, behavioral, geo-fencing, lookalike modeling, retargeting/remarketing; Strong understanding of bidding strategies (CPM, CPC, CPA, automated vs. manual bidding) and auction dynamics; Experience with tag management (Google Tag Manager), tracking pixels, conversion tracking, and website behavioral data integration for optimization and reporting; Familiarity with creative ad formats and specifications across display, native, CTV/OTT, and video. Working knowledge of brand safety tools, viewability measurement, and fraud prevention  Financial Services Acumen: Deep understanding of bank and credit union marketing objectives (deposit acquisition, loan origination, credit card activation, branch traffic); Expert knowledge of financial services compliance landscape and ability to apply regulations within programmatic strategies: UDAAP, Fair Lending, TCPA, CAN-SPAM, Reg Z, GLBA, FCRA; Experience designing targeting methodologies and audience selection logic that proactively ensure regulatory compliance; Experience navigating platform restrictions for financial services advertisers (e.g., Meta Special Ad Categories); Ability to translate complex financial products into effective audience and creative strategies  Analytical & Strategic Skills: Data-driven decision maker with strong analytical skills to interpret campaign performance and recommend optimizations; Ability to build business cases and ROI models to justify technology investments; Experience with A/B and multivariate testing to continuously improve performance; Comfortable working with attribution models and incrementality testing; Strategic thinker who can balance short-term execution with long-term capability buildout; Entrepreneurial mindset: comfortable with ambiguity and designing scalable processes  Soft Skills: Execution-oriented - Willing to roll up sleeves and execute while thinking strategically about scalable solutions; Communication - Excellent ability to explain complex programmatic concepts to non-technical stakeholders; Collaboration - Strong cross-functional partnership skills across Product, Engineering, Analytics, Creative, and Sales teams; Influence - Ability to build consensus and drive change in a matrixed organization; Ownership - Takes initiative, drives projects to completion, and holds self accountable to high standards; Adaptability - Thrives in fast-paced environments, comfortable pivoting strategies based on new information; Client-Centric -When client-facing, able to build trust and position Vericast as a strategic partner Additional Information Base salary: $150,000-$180,000 Position is eligible for an annual bonus incentive program. *Applications will be accepted through January 8, 2026, after which the posting will be closed and no longer available for submissions.* The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-KK1 #LI-REMOTE

Develop and implement predictive models and features to improve financial services marketing products, collaborate with cross-functional teams, and mentor junior data scientists. | Bachelor's and Master's degrees in quantitative fields, 5-10 years of data science experience, proficiency in Python/PySpark, machine learning workflows, and digital analytics tools. | Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn. Job Description The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. A typical data science project has a solid mathematical foundation, an exploratory dimension, and a data-driven workflow. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. We are building a privacy-centric future of digital advertising by focusing on web content. We are connecting web content to consumer interest and action, ultimately driving which ads are shown on a webpage. The Data Scientist II - FI Solutions, is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry. The Data Scientist II - FI Solutions is innately curious about how data can be used to tell a story and inform decisions. The Data Scientist II - FI Solutions is an integral part of a cross-disciplinary team working on highly visible projects that improve performance and grow the intelligence in our Financial Services marketing product suite. Our day-to-day work is performed in a progressive, high-tech workspace where we focus on a friendly, collaborative, and fulfilling environment. KEY DUTIES/RESPONSIBILITIES Leverage a richly populated feature stores to understand consumer and market behavior. 20% Implement a predictive model to determine whether a person or household is likely to open a lending or deposit account based on the advertising signals they've received. 20% Derive a set of new features that will help better understand the interplay between geography and audience features to improve model performance. 20% Work collaboratively with Data Engineering and Analytics teams to develop new products with applied AI and bring them to market. 20% Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 20% Qualifications EDUCATION · Bachelor’s Degree (Required) · Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required) · Doctorate Degree (Preferred) EXPERIENCE · 5-10 years of experience within the Data Science space. · In lieu of the stated education and experience requirements, a combination of experience and education will be considered. · Experience with web or digital analytics tools (e.g. Adobe Analytics, Google Analytics, WebTrends) preferred. KNOWLEDGE/SKILLS/ABILITIES · Conduct in-depth user journey analysis to pinpoint engagement gaps, conversion barriers, and high-performing paths. · Identify opportunities in print, SEO, paid ads, and digital marketing optimization by using data from POS systems, Google Analytics and media delivery platforms. · Understanding and experience with Machine Learning workflows and model productionalization. · Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies. · Familiarity with Spark Framework within an On-Premise Big Data Environment. · Good analytical skills, with expertise in analytical toolkits such as Regression, Tree-based Models, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis. · Proficient in Python/PySpark collaborative development in an industry setting. · Ability to create Data-Driven presentations and reports for technical and non-technical stakeholders. · Proven track record of leveraging data to optimize marketing campaigns and improve customer engagement. OTHER Serve as a mentor to junior and less experienced data scientists by providing guidance, sharing technical expertise, and supporting their professional development through regular feedback, code reviews, and collaborative problem-solving. Additional Information Base Salary: $130,000-$140,000 *Applications will be accepted through October 6, 2025, after which the posting will be closed and no longer available for submissions.* The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers! At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. #LI-KK1 #LI-REMOTE