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Credit Risk Data Science Jobs in Baltimore, MD (NOW HIRING)

Credit Manager

Baltimore, MD · On-site

$80K - $90K/yr

... risk exposure. * Conduct comprehensive credit investigations utilizing financial reports, credit bureau data, trade references, banking references, and other relevant sources. * Monitor customer ...

Maintain oversight of project timelines, resource allocation, and risk management. Qualifications * 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Maintain oversight of project timelines, resource allocation, and risk management. Qualifications * 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or ...

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... Enter complete and accurate data into Bank systems in support of underwriting and portfolio ...

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... Enter complete and accurate data into Bank systems in support of underwriting and portfolio ...

The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models. WHAT YOU WILL DO - Develop predictive models and ...

The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models. WHAT YOU WILL DO - Develop predictive models and ...

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Credit Risk Data Science information

See Baltimore, MD salary details

$36.8K

$113.2K

$196.2K

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

As of Jun 27, 2026, the average yearly pay for credit risk data science in Baltimore, MD is $113,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $139,600.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
What are popular job titles related to Credit Risk Data Science jobs in Baltimore, MD? For Credit Risk Data Science jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Baltimore, MD look for? The top searched job categories for Credit Risk Data Science jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Credit Risk Data Science jobs? Cities near Baltimore, MD with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Baltimore, MD as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,157 per year, or $54.4 per hour.

Head of Data Science Technology Solutions

Franklintempleton

Baltimore, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

At Franklin Templeton, we're advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that's both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

The Head of Data Science will lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS), delivering advanced analytics and machine learning solutions that directly enhance investment outcomes across asset classes.

Reporting to the Head of ITS, this role will bridge front-office investment teams and enterprise technology-ensuring that data science capabilities are platform-based, industrialized, and embedded into portfolio construction, risk management, and investment operations workflows.

The mandate combines three core objectives:

Deliver measurable impact to investment performance and risk management. Build and scale an enterprise-grade data science and AI platform. Establish a globally collaborative operating model aligned to ITS strategy.

Key Responsibilities

Investment-Focused Delivery

  • Partner closely with CIOs, Portfolio Managers, and Research Heads to translate investment challenges into scalable analytical solutions.

  • Develop and productionalize alpha signals, risk models, optimization engines, liquidity analytics, and scenario modelling capabilities.

  • Ensure analytics are embedded within portfolio construction, trading, and risk systems (e.g., Aladdin, Wall Street Office, Axioma or equivalent platforms).

  • Drive quantifiable improvements in performance attribution, risk-adjusted returns, drawdown management, and portfolio efficiency.

Data Science Platform & Architecture

  • Design and implement a robust, cloud-enabled data science platform supporting:

    • Research and experimentation environments

    • Feature stores and reusable signal libraries

    • Model development, validation, and testing frameworks

    • MLOps and model lifecycle management

    • Deployment pipelines into investment and risk platforms

  • Ensure architecture supports cross-asset reuse, security, auditability, and regulatory compliance.

  • Align platform standards with broader ITS data and infrastructure strategy.

Enterprise & Cross-Functional AI Enablement

  • Collaborate with Risk, Finance, Operations, and Distribution teams to extend AI capabilities where aligned to investment technology priorities.

  • Contribute to enterprise AI initiatives including stress testing automation, operational intelligence, and advanced reporting analytics.

  • Represent ITS Data Science in enterprise AI governance and model risk forums.

  • Promote responsible AI principles including explainability, transparency, and bias mitigation.

Organizational Build & Global Scale

  • Establish and scale a high-performing global data science organization embedded within ITS.

  • Develop a federated delivery model supporting regional investment teams across market hours.

  • Create clear differentiation between quantitative research, data science, AI engineering, and ML platform engineering roles.

  • Implement strong talent development pathways to build deep capital markets and vendor platform expertise.

Product Mindset & Value Realization

  • Operate data science as a product capability, with defined roadmaps, prioritization frameworks, and measurable value tracking.

  • Establish adoption metrics and performance KPIs for all deployed solutions.

  • Balance near-term market support needs with longer-term platform innovation.

Governance & Controls

  • Implement robust model validation, monitoring, and lifecycle management processes.

  • Ensure compliance with model risk management standards and regulatory expectations.

  • Maintain data lineage transparency and documentation standards aligned with ITS governance frameworks.

Candidate Profile

Experience

  • 10+ years' experience in asset management, capital markets, or quantitative investment technology environments.

  • Demonstrated leadership building and scaling data science or quantitative analytics teams within a technology-enabled operating model.

  • Proven track record delivering production-grade AI/ML solutions embedded in investment platforms.

  • Experience operating in regulated financial services environments.

Capital Markets Expertise

  • Deep understanding of:

    • Multi-asset portfolio construction and optimization

    • Risk modelling and stress testing

    • Market structure, liquidity dynamics, and execution considerations

  • CFA designation strongly preferred.

  • Advanced degree (PhD/MSc) in quantitative finance, statistics, mathematics, computer science, or related discipline desirable.

Technical & Platform Expertise

  • Strong command of statistical modelling, machine learning, and time-series analysis.

  • Experience integrating alternative datasets into investment workflows.

  • Familiarity with cloud-native data architectures, distributed compute, and MLOps frameworks.

  • Experience working with enterprise investment platforms (e.g., Aladdin, Wall Street Office, Axioma) strongly preferred.

Leadership & Operating Style

  • Technology-forward leader with strong investment credibility.

  • Product-oriented and outcome-driven.

  • Comfortable operating in a global, matrixed ITS organization.

  • Strong communicator capable of influencing senior investment and technology stakeholders.

Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $208,000 - $270,000, depending on location and level of relevant experience, plus discretionary bonus.

#EXECUTIVE

#LI-Hybrid

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton.

Highlights of our benefits include:

  • Three weeks paid time off the first year

  • Medical, dental and vision insurance

  • 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits

  • Employee Stock Investment Program

  • Tuition Assistance Program

  • Purchase of company funds with no sales charge

  • Onsite fitness center and recreation center*

  • Onsite cafeteria*

*Only applicable at certain locations

Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton is an Affirmative Action Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.