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Company:
SoFi
Posted: June 22, 2024
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
We are looking for a Senior Data Scientist to join our Loss Forecasting Team within Risk Analytics. This team member will work in the team that is responsible for forecasting losses across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. The Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL and other statistical analysis packages to get to the truth behind the data.
By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.
What you'll do:
The Senior Data Scientist will help SoFi develop better data driven loss forecasting by:
Developing quantitative/machine learning models to forecast product losses
Aggregating and synthesizing datasets from multiple data environments
Analyzing complex datasets to understand the performance and drivers for losses across various products
Investigating external credit data to identify trends in the market and industry
Conducting loss sensitivity analysis
Automating models and analytical dashboards
Monitoring the models' performance and re-calibrating the models as needed
Working with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately
What you'll need:
5+ years of loss forecasting experience with a Master's or PhD degree
Proficient in Python, SQL & Tableau
Experienced in model development and data analysis
Good understanding in basic Statistical / Machine learning models, e.g. linear regression, logistic regression, survival models, decision trees, random forests, clustering analysis etc.
Strong communications and presentation skills
Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment
Prior experience in credit loss forecasting is a must
Nice to have:
Familiarity working with bureau sandbox data a plus
Experience with generating credit reporting dashboard a plus
Experience with developing and productionizing models in the AWS environment a plus
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi 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.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi 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 ***.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
Who we are:
Shape a brighter financial future with us.
Together with our members, we're changing the way people think about and interact with personal finance.
We're a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role
We are looking for a Senior Data Scientist to join our Loss Forecasting Team within Risk Analytics. This team member will work in the team that is responsible for forecasting losses across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. The Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL and other statistical analysis packages to get to the truth behind the data.
By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.
What you'll do:
The Senior Data Scientist will help SoFi develop better data driven loss forecasting by:
Developing quantitative/machine learning models to forecast product losses
Aggregating and synthesizing datasets from multiple data environments
Analyzing complex datasets to understand the performance and drivers for losses across various products
Investigating external credit data to identify trends in the market and industry
Conducting loss sensitivity analysis
Automating models and analytical dashboards
Monitoring the models' performance and re-calibrating the models as needed
Working with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately
What you'll need:
5+ years of loss forecasting experience with a Master's or PhD degree
Proficient in Python, SQL & Tableau
Experienced in model development and data analysis
Good understanding in basic Statistical / Machine learning models, e.g. linear regression, logistic regression, survival models, decision trees, random forests, clustering analysis etc.
Strong communications and presentation skills
Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment
Prior experience in credit loss forecasting is a must
Nice to have:
Familiarity working with bureau sandbox data a plus
Experience with generating credit reporting dashboard a plus
Experience with developing and productionizing models in the AWS environment a plus
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi 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.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi 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 ***.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
Read the full job description and apply online on the recuiter's web-site
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