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Credit Risk Data Science Jobs in DeLand, FL (NOW HIRING)

... Science, Engineering, or related field. • Certifications: Relevant cloud (e.g., Azure/AWS), data ... risk/resiliency frameworks. Company : BNY is a global financial services platforms company at the ...

... Science, Engineering, or related field. • Certifications: Relevant cloud (e.g., Azure/AWS), data ... risk/resiliency frameworks. Company : BNY is a global financial services platforms company at the ...

Risk & Compliance * Identity & Access Management * Data Protection * Cyber Design * Incident ... Bachelor's Degree or equivalent in Computer Science, Cybersecurity, IT, or related field. * Minimum ...

Accounting Manager I

Lake Mary, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Accounting Manager oversees the financial reporting function of the credit union. The ... Leading role in annual NCUA exam process in relevant transaction risk and capital market areas.

Risk & Compliance * Identity & Access Management * Data Protection * Cyber Design * Incident ... Bachelor's degree or equivalent in Information Technology, Computer Science, or Engineering.

Bomb Technician (EOD)

Umatilla, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Bomb Technician (EOD)

Geneva, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Bomb Technician (EOD)

Apopka, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Bomb Technician (EOD)

Astor, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Bomb Technician (EOD)

Longwood, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Bomb Technician (EOD)

Winter Springs, FL

  • Medical

  • Dental

  • Vision

  • Retirement

... safety and risk management; regular integration with Special Operations, fleet units, and ... science, mechanical comprehension, and electronics information; age typically 30 or younger at ...

Showing results 41-60

Credit Risk Data Science information

See DeLand, FL salary details

$32.9K

$101.4K

$175.8K

How much do credit risk data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for credit risk data science in DeLand, FL is $101,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $125,100.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What cities near DeLand, FL are hiring for Credit Risk Data Science jobs?

Cities near DeLand, FL with the most Credit Risk Data Science job openings:

Director, Architecture Lead

BNY

Lake Mary, FL • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. They are seeking a Director-level Architect to lead enterprise architecture for Compliance Engineering, focusing on banking payments and financial crime solutions. This role involves defining technology designs and collaborating across various teams to deliver secure and compliant solutions.
Responsibilities:
• Define end-to-end target and transitional architectures for payments and compliance platforms, integrating SWIFT, ACH, RTP, and related rails.
• Establish and maintain reference architectures, design patterns, and guardrails that meet performance, resiliency (RTO/RPO), security, and compliance objectives.
• Lead architecture reviews, threat modeling, and resiliency assessments; ensure adherence to standards and best practices.
• Rapidly produce high-quality designs, diagrams, sequence and data flow models, and documentation that are clear, consistent, and actionable.
• Communicate complex topics simply for compliance, business stakeholders, and regulators; engage in deep technical discussions with developers, data engineers, and SREs.
• Translate regulatory requirements (e.g., AML/KYC, data retention, transaction monitoring) into technical designs and control implementation guidance.
• Architect solutions for transaction monitoring, surveillance, and other core Compliance capabilities.
• Partner with Financial Crime teams to design detection, investigation, and reporting capabilities; align technology to typologies and risk indicators.
• Ensure designs meet or exceed standards for security, privacy, auditability, traceability, and regulatory expectations.
• Define critical data elements (CDEs), data models, lineage, mapping, and data quality rules for payments and compliance domains.
• Drive metadata management, master/reference data strategies, and robust data controls across ingestion, processing, storage, and consumption.
• Collaborate with data engineering for scalable pipelines, streaming, and batch processing; ensure data reliability, timeliness, and completeness.
• Work across Compliance Engineering and partner platforms/practices to deliver integrated solutions; facilitate design decisions and trade-offs.
• Mentor architects and engineers; cultivate a collaborative, high-performing culture aligned to BNY principles (Be Client Obsessed, Spark Progress, Own It, Stay Curious, Thrive Together).
• Contribute to roadmap planning, capacity and cost optimization, and operational excellence.
Qualifications:
Required:
• 10+ years in software/solution/data/enterprise architecture with prior hands-on engineering experience (e.g., application development, integration, data engineering).
• Proven delivery of large-scale, mission-critical payment systems and/or financial crime platforms in regulated financial services environments.
• Deep understanding of payment rails and formats (e.g., SWIFT MT/ISO 20022, NACHA/ACH, RTP), messaging, clearing/settlement flows, and exception handling.
• Strong data architecture expertise: relational and distributed databases, schema design, CDE definition, data quality, lineage, mapping, and governance.
• Integration patterns (APIs, event streaming, messaging), microservices, and distributed systems performance and resiliency engineering.
• Security and compliance controls: encryption, key management, identity/authorization, logging/monitoring, auditability, and regulatory reporting.
• Excellent written and verbal communication; adept at simplifying complex technical concepts for non-technical audiences and regulators.
• Effective collaborator and influencer; able to lead design forums, resolve technical conflicts, and drive consensus across teams.
Preferred:
• Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• Certifications: Relevant cloud (e.g., Azure/AWS), data (e.g., data management/governance), security (e.g., CISSP), AML/Financial Crime (e.g., CAMS) are a plus.
• Tooling Proficiency: Industry-standard diagramming and modeling tools (e.g., UML/BPMN), data modeling tools, and documentation frameworks; experience with CI/CD and Infrastructure-as-Code is beneficial.
• Familiarity with ISO 20022, NACHA rules, SWIFT CSP, NIST/industry security standards, and operational risk/resiliency frameworks.
Company:
BNY is a global financial services platforms company at the heart of the world’s capital markets. Founded in 1784, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.