Director, Lending & Credit Risk Analytics
Artemis Consultants, New York, NY, United States
COMPANY OVERVIEW:
This is an analytics and technology company, connects bank account and payment insights to help companies in a variety of industries provide more confident, trustworthy and transparent transactions. Their differentiated data, sourced directly from banks, payment processors, and financial platforms helps companies to ensure compliance, mitigate risk, combat fraud, and confidently validate bank account and ownership.
They are considered the leading provider of bank account and payment intelligence, empowering financial institutions, Fintechs, and platforms with the tools they need to validate accounts, mitigate fraud, and enhance decisioning. Their mission is to help clients better understand the risk and behavior associated with every financial transaction-before it happens.
POSITION OVERVIEW:
The Director of Lending & Credit Risk Analytics is a senior, customer-facing analytics leader within the Data Science organization. This role owns lending and credit-risk interpretation across the company, with a primary focus on non-prime and alternative credit use cases.
Operating with a high degree of autonomy, the Director serves as the day-to-day owner of lending analytics while partnering directly with the VP of Data Science on priorities and direction.
Initially, this role will operate in a player/coach capacity-directly leading and contributing to complex customer analyses while managing a small, established Customer Analytics pod. Over time, the emphasis will shift toward team leadership, standards-setting, and strategic oversight as the pod scales.
The role is expected to oversee analytics workflows within the current analytics environment, including SQL-based data stores and Power BI reporting, with Excel used for exploratory analysis, validation, and client-specific data cuts. Familiarity with analytical languages such as R (and similar tools) is beneficial but not required.
The Director must also be fluent in core data-science concepts and metrics (e.g., AUC, KS, lift, stability, and model drift) in order to credibly engage with data science teams, challenge interpretations, and translate model behavior into business-relevant insights. The role establishes lender credibility, ensures analytical defensibility, and creates management leverage so that lending-driven analytics do not funnel through a single executive leader.
In addition to customer delivery, this role is expected to drive insight-led evolution of the risk platform by shaping new or enhanced features within the company's suite of risk
RESPONSIBILITIES:
Lending & Credit Risk Leadership
Serve as the internal authority on lending, underwriting, fraud, and creditrisk analytics, with deep domain fluency in non-prime and alternative lending Ensure analyses reflect how lenders actually evaluate risk, including loss exposure, fraud risk, approval and conversion lift, and earlylife performance indicators Act as the final interpretive checkpoint for customerfacing lending analyses prior to delivery Review and approve analytical outputs for accuracy, relevance, and realworld defensibility Customer Analytics Management
Own prioritization, scoping, and execution of customerdriven analytical requests Lead, mentor, and develop Customer Analytics team members (current and future) Establish repeatable analytical frameworks for common lending use cases (e.g., approval optimization, fraud segmentation, early delinquency indicators) Set standards for analytical rigor, documentation quality, and narrative consistency CrossFunctional Partnership
Partner closely with Sales, Client Success, Product, and R&D on lenderspecific questions and insights Translate lender feedback into structured input for R&D, highlighting gaps between model output, lender interpretation, and realworld decision constraints Influence product roadmap priorities and gotomarket messaging based on lender realities and market norms Strategic & Platform Ownership
Serve as the public and internal face of the data studies and lending analytics strategy Drive conversations and recommendations around new or enhanced risk model features and capabilities Ensure consistency, credibility, and defensibility across all lenderfacing analytical work PREFERRED PROFILE:
Experience & Domain Expertise
7-10+ years of experience in lending, credit risk, fraud analytics, or financial risk Direct experience supporting banks, fintech lenders, or nonprime / alternative credit providers Deep understanding of underwriting and credit policy design, fraud detection techniques, portfolio monitoring, and earlyrisk indicators Familiarity with regulatory and compliance considerations relevant to lending Analytical & Technical Judgment
Does not need to be a career data scientist, but must command technical credibility when engaging with senior data scientists, risk modelers, and quantitative teams Able to challenge, defend, and refine analytical conclusions in technical discussions without defaulting to theory or abstraction Demonstrated ability to distinguish meaningful, decisionrelevant signals from noise or false positives Proven ability to evaluate model performance in terms of realworld business impact, not just statistical metrics Ability to combine quantitative outputs with realworld lending judgment to produce conclusions that withstand scrutiny from both technical and business stakeholders Leadership & Communication
Strong ability to translate complex analytics into clear, lenderready narratives Proven track record telling believable, defensible risk stories aligned to real underwriting, fraud, and portfolio behaviors Prior people leadership experience or clear readiness to manage and mentor others Confident communicator with executives, customers, and internal stakeholders; willing and able to push back when analytics do not reflect realworld risk behavior What Success Looks Like
Increased lender trust and confidence in the analytics Consistent delivery of clean, defensible, decisionrelevant customer analyses Reduced dependency on senior analytics leadership for lending interpretation Clear separation between customerfacing analytics and R&D model development Strong alignment between analytics, product, and gotomarket teams
LOCATION:
Atlanta - Hybrid (3 day/wk)
Job ID# 3566817
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This is an analytics and technology company, connects bank account and payment insights to help companies in a variety of industries provide more confident, trustworthy and transparent transactions. Their differentiated data, sourced directly from banks, payment processors, and financial platforms helps companies to ensure compliance, mitigate risk, combat fraud, and confidently validate bank account and ownership.
They are considered the leading provider of bank account and payment intelligence, empowering financial institutions, Fintechs, and platforms with the tools they need to validate accounts, mitigate fraud, and enhance decisioning. Their mission is to help clients better understand the risk and behavior associated with every financial transaction-before it happens.
POSITION OVERVIEW:
The Director of Lending & Credit Risk Analytics is a senior, customer-facing analytics leader within the Data Science organization. This role owns lending and credit-risk interpretation across the company, with a primary focus on non-prime and alternative credit use cases.
Operating with a high degree of autonomy, the Director serves as the day-to-day owner of lending analytics while partnering directly with the VP of Data Science on priorities and direction.
Initially, this role will operate in a player/coach capacity-directly leading and contributing to complex customer analyses while managing a small, established Customer Analytics pod. Over time, the emphasis will shift toward team leadership, standards-setting, and strategic oversight as the pod scales.
The role is expected to oversee analytics workflows within the current analytics environment, including SQL-based data stores and Power BI reporting, with Excel used for exploratory analysis, validation, and client-specific data cuts. Familiarity with analytical languages such as R (and similar tools) is beneficial but not required.
The Director must also be fluent in core data-science concepts and metrics (e.g., AUC, KS, lift, stability, and model drift) in order to credibly engage with data science teams, challenge interpretations, and translate model behavior into business-relevant insights. The role establishes lender credibility, ensures analytical defensibility, and creates management leverage so that lending-driven analytics do not funnel through a single executive leader.
In addition to customer delivery, this role is expected to drive insight-led evolution of the risk platform by shaping new or enhanced features within the company's suite of risk
RESPONSIBILITIES:
Lending & Credit Risk Leadership
Serve as the internal authority on lending, underwriting, fraud, and creditrisk analytics, with deep domain fluency in non-prime and alternative lending Ensure analyses reflect how lenders actually evaluate risk, including loss exposure, fraud risk, approval and conversion lift, and earlylife performance indicators Act as the final interpretive checkpoint for customerfacing lending analyses prior to delivery Review and approve analytical outputs for accuracy, relevance, and realworld defensibility Customer Analytics Management
Own prioritization, scoping, and execution of customerdriven analytical requests Lead, mentor, and develop Customer Analytics team members (current and future) Establish repeatable analytical frameworks for common lending use cases (e.g., approval optimization, fraud segmentation, early delinquency indicators) Set standards for analytical rigor, documentation quality, and narrative consistency CrossFunctional Partnership
Partner closely with Sales, Client Success, Product, and R&D on lenderspecific questions and insights Translate lender feedback into structured input for R&D, highlighting gaps between model output, lender interpretation, and realworld decision constraints Influence product roadmap priorities and gotomarket messaging based on lender realities and market norms Strategic & Platform Ownership
Serve as the public and internal face of the data studies and lending analytics strategy Drive conversations and recommendations around new or enhanced risk model features and capabilities Ensure consistency, credibility, and defensibility across all lenderfacing analytical work PREFERRED PROFILE:
Experience & Domain Expertise
7-10+ years of experience in lending, credit risk, fraud analytics, or financial risk Direct experience supporting banks, fintech lenders, or nonprime / alternative credit providers Deep understanding of underwriting and credit policy design, fraud detection techniques, portfolio monitoring, and earlyrisk indicators Familiarity with regulatory and compliance considerations relevant to lending Analytical & Technical Judgment
Does not need to be a career data scientist, but must command technical credibility when engaging with senior data scientists, risk modelers, and quantitative teams Able to challenge, defend, and refine analytical conclusions in technical discussions without defaulting to theory or abstraction Demonstrated ability to distinguish meaningful, decisionrelevant signals from noise or false positives Proven ability to evaluate model performance in terms of realworld business impact, not just statistical metrics Ability to combine quantitative outputs with realworld lending judgment to produce conclusions that withstand scrutiny from both technical and business stakeholders Leadership & Communication
Strong ability to translate complex analytics into clear, lenderready narratives Proven track record telling believable, defensible risk stories aligned to real underwriting, fraud, and portfolio behaviors Prior people leadership experience or clear readiness to manage and mentor others Confident communicator with executives, customers, and internal stakeholders; willing and able to push back when analytics do not reflect realworld risk behavior What Success Looks Like
Increased lender trust and confidence in the analytics Consistent delivery of clean, defensible, decisionrelevant customer analyses Reduced dependency on senior analytics leadership for lending interpretation Clear separation between customerfacing analytics and R&D model development Strong alignment between analytics, product, and gotomarket teams
LOCATION:
Atlanta - Hybrid (3 day/wk)
Job ID# 3566817
Artemis invites you to subscribe to our free
Job Alerts
and
"
The Hunt
"
Blog for free insights on hiring and career development.
Artemis Referral Bonus - $500!
If you know someone for this job, please join our
Referral Bonus Program
.