Credit Analytics Consultant

Location: Arlington, VA or Richmond, VA (hybrid)

Senior Manager/Director, Credit Analytics Consultant: lead high-quality credit life-cycle consulting projects for top U.S. banks, fintechs, and international clients, including those in emerging markets.

Key Responsibilities:

• Manage teams of analysts and data scientists on diagnostics, valuation, and credit policy projects.

• Support business development by assisting in proposal creation and project scoping.

• Provide structured feedback, mentorship, and coaching as a people manager and culture champion.

• Contribute to internal engagement initiatives to foster a strong company culture.

• 6+ years of experience in credit risk

Global Head of Risk

(LatAm role -- can sit in the US, or be LatAm based)

The Global Head of Risk is a senior executive responsible for shaping and executing the organization’s credit risk strategy, underwriting policies, and overall risk management across global operations, with a primary focus on business lending and portfolio management in Latin America. This role balances risk discipline with a business-enabling approach to drive sustainable growth while maintaining a strong risk framework.

Responsibilities:

• Develop and execute a global credit risk strategy, balancing business growth with disciplined risk mitigation, particularly in Latin America.

• Lead and refine credit risk policies, underwriting frameworks, and risk appetite across corporate lending, trade finance, and structured finance.

• Oversee and optimize B2B underwriting processes, ensuring data-driven, analytically rigorous credit assessments.

• Enhance credit risk models and portfolio monitoring tools using advanced analytics to improve decision-making and identify growth opportunities.

• Drive innovation in underwriting methodologies, integrating alternative data, automation, and AI-driven assessments.

• Build and lead a high-performing global credit risk team with a hands-on “player/coach” leadership approach.

• Provide executive-level reporting on credit risk metrics, portfolio performance, and emerging risks.

• Partner with Capital Markets to enhance funding strategies, including structuring credit facilities and securitizations.

Requirements:

• Bachelor’s degree in Finance, Business, Economics, or a related field; Master’s/MBA preferred.

• 10+ years in credit risk management, underwriting, and commercial lending, with a strong focus on B2B credit risk.

• 5+ years leading global credit risk teams, ensuring talent development and retention.

• Proven expertise in Latin American credit risk management, including regional financial markets and regulatory frameworks.

• Strong background in credit risk modeling, predictive analytics, and risk-adjusted pricing.

• Experience navigating global regulatory requirements, particularly in LATAM.

• Ability to thrive in a fast-paced, entrepreneurial environment, balancing strategy with hands-on execution.

Head of Credit remote (CA preferred)

[email [email protected] to apply]

We are looking for an experienced, innovative, and analytically driven leader to oversee Credit.

This role is responsible for optimizing predictive modeling, leveraging advanced data science techniques, and minimizing credit losses across our products.

The ideal candidate has a proven track record in credit management, risk analysis, strategic decision-making, and machine learning-driven credit solutions.

Who We’re Looking For:

• Expert in credit modeling with deep knowledge of statistical and machine learning techniques such as logistic regression, decision trees, gradient boosting, and deep learning for risk assessment.

• Proficient in data science and ML workflows, including feature engineering, model training, validation, deployment, and monitoring in production environments.

• Hands-on experience with ML-driven credit risk models, including explainable AI (XAI) methods, alternative data sources, and dynamic risk scoring models.

• Strong problem-solving skills, capable of operating across the entire credit stack—from loan-level decisions to deploying ML-based risk models and collaborating with regulators and capital partners.

• Experienced in big data technologies, working with large-scale structured and unstructured datasets for credit risk analysis.

• Proven ability to deliver models that drive significant improvements in AUC/ROC/KS and other predictive performance metrics.

• Collaborates closely with engineers, data scientists, and DevOps teams to develop scalable, automated risk management solutions.

Requirements:

• 8+ years in consumer credit modeling, risk management, and data science within a major bank, fast-growing neobank, or fintech.

• Proven ability to shape credit trends and drive data-driven decisions that impact portfolio performance.

• Strong programming skills in SQL, Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), and experience with cloud-based ML platforms (AWS, GCP, or Azure).

• Deep expertise in statistics, experimental design, causal inference, and machine learning techniques for credit risk analysis.

• Experience with AI-driven underwriting models, fraud detection, and credit scoring algorithms using alternative data sources such as transaction, e-commerce, and behavioral data.

• Master’s or Ph.D. in Computer Science, Mathematics, Statistics, Machine Learning, or EE/ECE from a top-tier institution.

Global Head of Risk

(LatAm role -- can sit in the US, or be LatAm based)

The Global Head of Risk is a senior executive responsible for shaping and executing the organization’s credit risk strategy, underwriting policies, and overall risk management across global operations, with a primary focus on business lending and portfolio management in Latin America. This role balances risk discipline with a business-enabling approach to drive sustainable growth while maintaining a strong risk framework.

Responsibilities:

• Develop and execute a global credit risk strategy, balancing business growth with disciplined risk mitigation, particularly in Latin America.

• Lead and refine credit risk policies, underwriting frameworks, and risk appetite across corporate lending, trade finance, and structured finance.

• Oversee and optimize B2B underwriting processes, ensuring data-driven, analytically rigorous credit assessments.

• Enhance credit risk models and portfolio monitoring tools using advanced analytics to improve decision-making and identify growth opportunities.

• Drive innovation in underwriting methodologies, integrating alternative data, automation, and AI-driven assessments.

• Build and lead a high-performing global credit risk team with a hands-on “player/coach” leadership approach.

• Provide executive-level reporting on credit risk metrics, portfolio performance, and emerging risks.

• Partner with Capital Markets to enhance funding strategies, including structuring credit facilities and securitizations.

Requirements:

• Bachelor’s degree in Finance, Business, Economics, or a related field; Master’s/MBA preferred.

• 10+ years in credit risk management, underwriting, and commercial lending, with a strong focus on B2B credit risk.

• 5+ years leading global credit risk teams, ensuring talent development and retention.

• Proven expertise in Latin American credit risk management, including regional financial markets and regulatory frameworks.

• Strong background in credit risk modeling, predictive analytics, and risk-adjusted pricing.

• Experience navigating global regulatory requirements, particularly in LATAM.

• Ability to thrive in a fast-paced, entrepreneurial environment, balancing strategy with hands-on execution.

Sr Director, Growth Marketing

We seek a dynamic leader to drive customer and merchant acquisition, engagement, and retention. You will build a high-performing team, leverage AI-driven analytics, and develop targeted offers to maximize user loyalty. This role offers the opportunity to drive exponential growth in a fast-paced, data-driven environment. 🚀

Key Responsibilities:

• Acquire and activate 2M+ customers while optimizing CAC and payback periods.

• Double customer transaction rates through segmentation, personalization, and strategic marketing.

• Develop AI-powered analytics and models to enhance marketing efforts.

• Collaborate with product and business teams to deliver the right offers at the right time.

• Build scalable, cost-effective strategies for customer reactivation and retention.

Requirements:

• Proven success in scaling high-growth products ($50M+ ARR, 100%+ YoY growth).

• Experience leading growth teams and acquiring millions of customers through multi-channel strategies.

• Expertise in analytics, CAC/LTV modeling, and ROI measurement.

• (Nice to Have): Experience in fintech or Spanish-speaking emerging markets

Data Scientist – Credit & Fraud Risk

Salary: ~$175k, but “open for the right rockstar 🎸”

Opportunity to be an early-stage team member to drive data science innovation in credit and fraud risk management. You’ll build and deploy risk models, leverage AI/LLM tools, integrate new data sources, and collaborate with engineering for implementation.

Key Responsibilities:

• Develop and refine risk models tailored to customer segments.

• Manage and ensure data quality across large datasets.

• Assess new data sources and engage with vendors.

• Monitor and improve model performance.

• Align data science efforts with business goals.

• Optimize data infrastructure with engineering teams.

• Document model development and compliance.

Requirements:

• 5+ years in advanced statistical modeling and risk model development.

• Master’s/Ph.D. in a quantitative field.

• Expertise in machine learning, risk modeling, and LLM-based data products.

• Strong Python (sklearn, pandas, numpy) and SQL skills.

• Prior fintech or corporate underwriting is a plus.

Analytics Associate (remote)

$135,000-$150,000

Role Requirements

• Experience as a credit risk analyst in origination businesses 

• Focus on front-end lending

• Expertise in building credit policies for individual deal-level underwriting

• Strong understanding of data science with proficiency in SQL and Python/R

• 2–4 years of hands-on capabilities experience

Candidate Profile

• Strong analytical skills with a credit risk background

• Solid understanding of data science 

• Ability to work with existing models and contribute to building new ones

• Excellent soft skills, including communication, adaptability, and grit

• Willingness to be hands-on in a lean team environment

Preferred Experience

• Consumer/small business lending 

• Fintech experience

General Manager

GM (non-fintech) role for a rising leader with lending, credit, or marketing expertise.

Location: DC Metro area (hybrid)
Salary: depending on experience 

We are seeking a General Manager (GM) to lead our largest and fastest-growing business—an innovative and high-performing fundraising operation serving nonprofits and political clients. This is a unique opportunity for a highly analytical, creative, and entrepreneurial leader to take an already successful business to the next level.

Key Responsibilities:

• Business Leadership & Strategy: Oversee day-to-day operations, ensuring efficiency and execution while identifying innovative opportunities for growth.

• Analytics & Optimization: Leverage data to understand lifetime customer value, optimize customer acquisition strategies, and drive engagement to maximize revenue.

• Cross-Channel Integration: Develop and execute strategies to expand and integrate fundraising efforts across multiple platforms in a cost-effective manner.

• Growth & Innovation: Explore and evaluate new channels, customer acquisition strategies, and data-driven models to enhance fundraising performance.

• Team Management: Lead a small but capable team, ensuring that operational tasks are executed effectively while maintaining strategic oversight.

Key Qualifications:

• Exceptional quantitative and analytical skills—comfortable working with data, models, and metrics.

• Strong business acumen and a creative problem-solving mindset to identify new growth opportunities.

• Entrepreneurial mindset—a self-starter who thrives in a fast-paced, high-growth environment.

• Experience in customer acquisition, lifetime value analysis, and digital marketing is a strong plus.

• Ability to manage operations while also thinking strategically about the business’s future.