Ed Tech companies you'll love to work for

1,141
companies
30,786
Jobs

Modeler, Loss Forecasting

Climb Credit

Climb Credit

Las Vegas, NV, USA
Posted on Tuesday, July 9, 2024

Who We Are

Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.


Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates. Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.
We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.


Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.


To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.

Climb’s Values

  • Drive access and inclusivity
  • Build a better system
  • Own the solution
  • Iterate and experiment
  • Succeed together

Overview of Role

We are looking for a promising Modeler who is excited to join a fast-growing startup to drive and maintain Climb’s credit loss forecasting analytics to promote continuous improvement towards achieving profitability and loss objectives. This role will be responsible for strategy development and simulations and liaison with Operations, Product, and Senior Leadership to ensure consistency of the loss forecasting and profitability projections. The ideal candidate will have a strong finance and credit markets background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders. This role will also coach more junior analysts as well as own major quant development initiatives with minimal guidance/oversight.

Responsibilities

As part of the Credit team, you will:

  • Utilize advanced analytical techniques to identify trends and patterns in data
  • Collaborate with cross-functional teams to understand business needs and provide analytical support
  • Conduct thorough analysis and interpretation of data to identify key insights and recommendations
  • Monitor and track model performance, making necessary adjustments and improvements
  • Communicate complex data and findings to various stakeholders, including senior management
  • Stay updated on industry trends, advancements in data modeling techniques, and regulatory requirements
  • Identify potential risks and opportunities through data analysis and make recommendations to mitigate risks and capitalize on opportunities
  • Develop and maintain documentation of modeling methodologies and assumptions
  • Work independently and as part of a team to meet project deadlines and deliver high-quality work
  • Collaborate with other departments to ensure accurate and timely data collection and reporting
  • Provide training and support to team members on data modeling and forecasting techniques
  • Take ownership of projects and proactively identify areas for improvement
  • Participate in company-wide initiatives and contribute to the overall success of the organization

Your Background and Skills

  • 5+ years financial services experience in a quantitative role, preferably in Portfolio Management, Risk Management, or Business Analysis focused role.
  • 3+ years of prior work with relational databases and working knowledge with data/analytical tools such as PowerBI, SQL, Python, R or similar applications to be self-sufficient to integrate data from various sources and conduct descriptive and predictive studies.
  • Proficient in Microsoft Office product with an emphasis on MS Excel.
  • Strong knowledge of statistical and analytical methodologies and problem-solving skills with the ability to think logically and effectively utilize analytical software/techniques to develop and execute effective solutions.
  • Attention to details and numbers with a big picture view to quickly grasp and understand complexity, problems, impacts, and concepts.
  • Demonstrated ability to take the initiative and achieve results in a fast-paced and changing environment.
  • Consistently demonstrates clear and concise written and verbal communication skills -the ability to achieve positive outcomes through influence.
  • Proven contributor in a team environment with the demonstrated ability to interact effectively with all levels of staff.
  • Creative thinker, problem-solver, and great attention to details.
  • Strong understanding of financial concepts, in particular fixed income, credit and structured products.
  • 1+ years experience with fixed income cash flow waterfall modeling
  • Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive

Nice to Have:

  • Product knowledge and experience in fixed income securities, particularly student loans.
  • Bachelor’s Degree or a Master’s Degree in a quantitative field, such as quantitative finance, financial engineering, data science, econometrics, etc.
  • Demonstrated passion for Climb’s mission to expand access to quality education
  • The capability of expanding quickly into larger responsibilities as the company grows rapidly