14 days old

Director of Risk Analytics

Caliber Financial Services
Mission, KS 66202
Director of Risk Analytics

At Caliber Financial Services, a fintech company, we rely on powerfully insightful data to power our systems and solutions. Were seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise youd expect, but a natural curiosity and creative mind thats not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden withinall with the ultimate goal of realizing the datas full potential. You will join a team of data specialists, but will slice and dice data using your own methods, creating new visions for the future.

We are hiring a Director of Risk Analytics to lead a Risk Analytics team focused on delivering value to our business. As a leader on the Risk Analytics team, you will deliver models and insights that drive decision-making, execution and operation in various aspects of business across Caliber. Success requires analytical savviness, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. A successful candidate has the management skills to lead and scale a team of analysts and developers, is hands-on enough to help them implement your vision, and strategic enough to work with the stakeholders around the company to set that vision. This position will report to the Chief Risk/Credit Officer. Ensures operational compliance and all delivery is effectively and efficiently managed.


  • Responsible for attracting, recruiting and growing risk analytics and engineering talent within the team

  • Create and steer the risk analytics roadmap. Assist with making technology decisions.

  • Provide statistical/machine learning guidance for robust risk analysis, experimentation and opportunity identification

  • Directly managing a team of model analysts/developer and collaborating with a cross-functional team of product managers, engineers, and data scientists

  • Directs the continuing review of present systems and methods, as well as the formulation of new and revised systems; determines appropriate changes to effect improvements, reduce costs, and enhance efficiency

  • Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, Portfolio Management and Operations.

  • Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging R, SAS, Python and/or Apache Spark.

  • Perform parallel processing computations both within R as well as cluster computing technologies such as Apache Spark.

  • Design, Develop and Deploy multiple linear and nonlinear models for testing, development and deployment into our underwriting engine in the application of risk management in all of Calibers acquisition channels.

  • Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Caliber products.

  • Successfully implement scoring models on multiple decision platforms Including R instance deployment, On premise deployment and cloud deployment and multiple forms such as Java objects, R Object Models and Apache Spark Models.

  • Provide knowledge, insight and guidance of third party data providers such as Transunion, Clarity/Experian and Equifax to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations.

  • Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Rmarkdown, IPython, Jupyter Notebook, etc.

  • Functional lead and point of contact with business partners to support the needs and goals of all Caliber portfolios.

  • Lead analytical projects by leveraging and coaching Data Scientists in the team

Experience and Education:

Minimum Masters degree in highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree) required.

  • At least ten years of experience in Data Science or Modeling for consumer lending; Professional experience waived with at least two years of Data Science or Modeling experience and Ph.D. Degree in highly quantitative field (Statistics, Economics, Mathematics, or other quantitatively-oriented degree), including 3+ years managing a team of individual contributors

  • Experience with third-party consumer credit data and non-FCRA compliant consumer data.

  • Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, Elastic Net, etc). Knowledge of penalized regression and classification methods a plus.

  • Strong data skills, with ability to conduct substantial data munging/engineering.

  • Proficiency with SAS and R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions and data processing frameworks (e.g., Spark, Hadoop).

  • Experience with at least four database technologies such as MSSQL Server, SAS Datasets, Hadoop, Apache Hive/Impala, Spark, Redshift, HBASE, Kafka, Spark Streaming, Neo4j, Teradata, Oracle, MySQL, DB2, Amazon AWS, Cassandra, PostgreSQL, NoSQL, JSON & XML parsing, etc.

  • Proven experience working in fast-paced environment with ever-changing demands.

  • Superior communication skills for communication with Risk Management peers and executive team.

  • Proficiency of contemporary supervised and unsupervised data mining techniques a plus.

Required Skills and Abilities:

  • Motivation Skills - History of achieving aggressive organizational goals and objectives, conveying sense of urgency while moving beyond challenges and obstacles. 

  • Comfortable formulating actionable insights and recommendations from analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of management SUPERVISORY RESPONSIBILITIES Manages the planning, organization, and controls for a major functional area or department.

  • Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising and rewarding performance and retention. Leads by example and models behaviors that are consistent with the companys values

  • Thinking and Administrative Skills - Solid analytical and problem solving skills.  Ability to analyze trends and suggest solutions to challenges. 

  • Achieve Successful Results Takes the initiative to get things done.

  • Demonstrates Adaptability Works effectively in the face of stress, ambiguity, difficult situations and shifting priorities.

  • Innovates Challenges the status quo thinking to generate new ideas; takes open minded approach to situations.

  • Communication Skills - Refined written and verbal communication skills.  Ability to foster open communications, listen effectively and build strong partnership networks.

  • Technological Competence Extensive knowledge of R, Python, Scala, Java, SAS, MATLAB, SQL, and/or SPSS and risk management technology with the ability to leverage such tools to improve the organizations decision making criteria.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.  

This is a limited remote position you must live in the TX, OK, KS, MO, NV area.  If you live in the Kansas City Metro Area, this is a limited hybrid position. Directors are currently required to be in the office Tues-Thurs on a weekly basis if they reside in the Kansas City Metro area. There is no relocation for this position.





Posted: 2022-07-24 Expires: 2022-08-23

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Director of Risk Analytics

Caliber Financial Services
Mission, KS 66202

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