Credit Risk Analytics Analyst

Credijusto is hiring Senior Data Scientists to join the distributed product and technology team at the decision science branch.

About Credijusto

Credijusto is the leading Fintech in financing small and medium-sized companies in Mexico. Founded in 2015 by Allan Apoj and David Poritz, our mission is to be the financial ally of Mexican companies. Our commitment is to strengthen and promote the growth of thousands of businesses through business loans, pure leasing and sale & lease back, from $ 200 thousand to $ 30 million pesos. We believe that financially supporting companies is supporting the future of thousands of families and Mexico.

Data Scientist role description.

A Data Scientist is somebody that pulls data, analyzes it, performs experiments on it, visualizes it and communicates those results to the data science manager and/or other people in the organization to try and move things forward. Often, a data scientist will hand off any machine learning algorithm or prediction algorithm they develop, to the data engineer, who will then implement it so it can run at scale.

A Data Scientist is willing to find answers on their own. So, often a data scientist has to come up with their own data sets, they have to be able to pull data sets from the organization. They have to be able to collaborate with people to figure out what the right problem to solve is.

Duties and requirements:

- Experience at lending institutions
- Understands experimental design principles, and statistical.
- Conducts extensive research, identifies business problems and creates analytical/modeling frameworks and solutions.
- Willing to find answers on your own.
- Sift through huge volumes of data from multiple internal and external sources.
- Use analytics programs, machine learning and statistical methods for research/product delivery tools.
- Examine data from various angles to find patterns, trends and/or business opportunities.
- Come up with data-driven solutions to pressing challenges.
- You understand data quality and its relationship to data science, product, and the organization as a whole. You’re comfortable balancing delivery speed and functionality.
- Propose algorithms to solve business problems.
- Clearly explain findings to cross functional team members of varying technical backgrounds, including management and IT departments through visualizations, reports, meetings and presentations.
- You want to understand your users and their data problems so you can build tools and products that enable them to do their job.
- Recommend cost-effective changes.
- You’re good at prioritization, willing to defer complexity.
- Collaborate with other engineers to improve data extraction/processing pipelines.
- Intermediate English level, writing & speaking

Required toolbox.
- SQL (MySQL, Postgresql).
- Jupyter Notebooks/Lab.
- Have at least 2 years working in the industry as a Data Scientist.
- Bachelor of science or engineering degree.

Nice to have & extra points.
- Masters or PhD on any science and/or engineering fields.
- R language.
- Fluent English, writing & speaking
- Experience in Credit Risk Models

Meetings

We keep meetings to a minimum, because work rarely gets done in meetings.

Mentoring and Leadership

If you like mentoring other data scientists, or working with the leadership team to set priorities and fix processes, there’s plenty of room for that.

Culture

We’re building a culture of nice, smart, and hard-working people.

Pay and Benefits

We offer globally competitive salaries and benefits. We want to hire great people and keep them happy and productive.