Senior Data Scientist
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Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Employee Applicant Privacy Notice
Who we are:
Welcoming collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the worlds largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection security decision-making analytics and regulatory compliance functionality combined with customized responsive and flexible programs to accelerate the success of all payments companies and solve tomorrows payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at Role:
The Risk Data Science team is looking for a Data Scientist/Senior Data Scientist to develop advanced machine learning and statistical models guide measurement strategy and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit Risk Product Engineering and Operations teams to design solutions for underwriting portfolio management loss mitigation and loss forecasting etc. These tasks involve researching and applying state of the art modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business profitability.
What Youll Do:
- Develop implement and continuously improve machine learning and statistical models that support various credit risk and operational procedures including but not limited to underwriting portfolio management loss mitigation and loss forecasting etc.
- Present model performance and insights to Credit Risk and Business Unit leaders.
- Proactively identify opportunities to apply advanced modeling approaches to solve complex business problems.
- Explore and leverage in-house and external data sources to enhance model predictive power.
- Collaborate with the Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements.
- Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
- Collaborate with the Product and Engineering teams to improve the model development deployment monitoring and model re-calibration/re-build process..
- Explore and apply in-house and open-source machine learning and statistical tools and algorithms to develop and improve models.
What Youll Need:
- Masters degree in Statistics Econometrics Mathematics Operations Research Physics Computer Science Engineering or quantitative field required. PhD degree preferred.
- 2 years of relevant work experience in building and implementing machine learning and statistical models.
- Excellent logic reasoning and communication abilities when interpreting business requirements and translating them into effective data solutions.
- Strong skills in writing efficient SQL queries and Python code to create complex attributes especially with large datasets.
- Strong sensitivity to details in data and proactively investigate them to uncover unknown patterns.
- Strong knowledge of databases and related languages/tools such as SQL NoSQL Hive etc.
- Demonstrated sophisticated experience in building efficient and reliable pipelines that interact with large datasets stored in SageMaker and Snowflake automating recurring processes such as data extraction and processing feature selection model training model monitoring and generating documentation templates to support reproducibility and cross-functional collaboration.
- Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but are not limited to) regression classification clustering outlier detection novelty detection decision trees nearest neighbors support vector machines ensemble methods and boosting neural networks deep learning and its various applications. Continuously following the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies
- Strong programming skills in Python and machine learning libraries (e.g. sklearn lightgbm xgboost pytorch tensorflow keras etc.)
Nice To Have:
- Experience in a lending organization.
- Experience with model documentation and delivering effective verbal and written communication.
- Experience in working closely with Product Engineering and Model Risk Management teams.
- Experience with AWS or GCP.
Why youll love working here:
- Competitive salary packages and bonuses
- Supplemental medical dental vision and life insurance benefits.
- Generous vacation and holidays
- Paid parental leave for eligible employees
- Great health & well-being benefits including: telehealth parental support subsidized gym program
- Fully stocked kitchen (snacks and drinks)
Galileo Financial Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion (including religious dress and grooming practices) sex (including pregnancy childbirth and related medical conditions breastfeeding and conditions related to breastfeeding) gender gender identity gender expression national origin ancestry age (40 or over) physical or medical disability medical condition marital status registered domestic partner status sexual orientation genetic information military and/or veteran status or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Galileo is committed to an inclusive culture. As part of this commitment Galileo offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process please let your recruiter know or email
Required Experience:
Senior IC
Key Skills
About Company
Galileo is the financial technology platform connecting people with money and shaping fintech by offering core banking, card issuing, and payment processing and more.
