meridianlink - Predictive Analytics Consultant
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Requirements
• Bachelor’s or Master’s degree in Statistics, Data Science, Analytics, Mathematics, Economics, Finance, or a related field is preferred • 4+ years of experience building and validating predictive credit risk models, preferably in the financial services or lending industry. • Proven experience with model development and deployment, testing, validation, and monitoring. • Expert-level skills in programming languages such as Python for model development and analysis leveraging Pandas, Scikit-learn, and other data handling, statistical, optimization, and machine learning frameworks • High-level proficiency and advanced skills in SQL for data querying and data manipulation. • Proficiency in AWS for training, building, and deploying models is preferred, along with experience in MLOps. • Strong problem-solving skills and attention to detail in analyzing data and validating models. • Excellent communication skills to present technical concepts to non-technical stakeholders. • Ability to work independently and as part of a team in a fast-paced, dynamic environment. • Strong project management skills with the ability to handle multiple tasks and deadlines.
Responsibilities
• Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and organized for analysis. Perform detailed data wrangling tasks to handle data inconsistencies to prepare data for use in predictive models and analysis. • Implement advanced data transformation techniques (e.g., feature engineering, aggregation, normalization) to optimize data for specific machine learning, optimization and statistical models. • Work on various types of predictive models, including classification, regression, and clustering, using algorithms like decision trees, random forests, or neural networks. • Contribute to the fine-tuning of models by optimizing hyperparameters and evaluating performance using cross-validation, ensuring that models meet business and technical requirements. • Develop end-to-end analytical solutions, from data collection to model deployment, ensuring that the solutions meet the client's business objectives, such as improving lending strategies or underwriting decisions. • Ensure that the analytical results align with key performance indicators (KPIs) and help drive measurable outcomes. • Participate in the internal development of new data science methodologies that address evolving needs related to underwriting for our financial institution clients. • Present complex analytical findings in a clear and actionable format to internal stakeholders and external clients helping them interpret the results of predictive models and make informed decisions based on data insights. • Provide feedback and contribute to the continuous improvement of the data science workflow, ensuring projects are executed efficiently and with precision.
Benefits
• $69.8K – $110.3K • MeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process. • It is not typical for offers to be made at or near the top of the salary range. The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location. • t is not typical for offers to be made at or near the top of the salary range. • Meridianlink offers: • Insurance coverage (medical, dental, vision, life, and disability) • Flexible paid time off • 401(k) plan with company match • All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • If above question is "Other" please add the source below. • I prefer not to answer • Black or African American • Hispanic, Latino, or Spanish origin • Indigenous Peoples, First Nations, Native American, or Alaska Native • Native Hawaiian or Other Pacific Islander • White / Caucasian • Middle Eastern or North African • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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