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Senior Analyst, Loss Forecasting

78% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Contract: 
Salary: 
93 - 145K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s Degree in related field, 2+ years financial services industry experience, Advanced programming and analytical skills.

Key responsabilities:

  • Develop loss forecasting models independently
  • Forecast delinquencies and communicate findings
  • Manage forecasting processes and controls
  • Facilitate cross-functional communication
  • Support Collections team with forecast data
Oportun logo
Oportun Fintech: Finance + Technology Large https://www.oportun.com
1001 - 5000 Employees
See more Oportun offers

Job description

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Your missions

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 2.2 million members' financial goals within reach. With intelligent borrowing and savings, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $17.8 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped our members save an average of more than $1,800 annually. For more information, visit Oportun.com.

 

WORKING AT OPORTUN


Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.

POSITION SUMMARY

The Sr. Analyst of Loss Forecasting is responsible for forecasting delinquencies and credit losses for Oportun’s portfolio.  This highly visible role is instrumental in ensuring Oportun continues to meet its credit quality objectives, as wells as in setting the loss expectations for Fair Value.  This role works cross functionally with Risk Strategy Collections, and Financial Planning to improve forecasting accuracy and ensure the loss forecast reflects strategic changes in the business.

 

RESPONSIBILITIES:

  • Independently develop loss forecasting models using advanced data and analytical skills. Be the full owner for the model update, monitoring and enhancement.
  • Forecast delinquencies and losses for various business purposes (e.g., business planning, fair value, funding etc.) and communicate forecasting results along with assumptions, trends and changes in key drivers to executive management and business partner teams.
  • Actively manage the forecasting deliverable timelines to ensure timely completion of the forecasting processes.
  • Establish and perform rigorous controls to the forecasting processes. Monitor and adjust assumptions used by the model to ensure the forecast accurately reflects changing trends. Report and interpret variances between different forecasts and actuals.
  • Manage cross functional communications with Risk Management, Collections and Financial Planning to incorporate strategic initiatives into forecast and influence the business strategy.
  • Have deep understanding of the models owned and be able to respond to internal/external auditors and/or regulators for audited or regulated forecasting processes.
  • Support Collections team in setting performance goals and planning staffing and expenses by providing delinquency and loss forecast
  • Support ad-hoc forecasting or analytical requests
QUALIFICATIONS
  • Bachelor’s Degree in Engineering, Mathematics, Statistics, Economics, Finance, or other analytical discipline. Master’s degree preferred
  • 2+ years of experience in a loss forecasting, modeling/data science or analytics role in the credit risk space in the financial services industry
  • Advanced Python, SAS and SQL (or similar language) programming skills
  • Advanced Microsoft Excel and PowerPoint skills
  • Exceptional problem solving and analytical skills with the ability to maintain the highest standard of integrity, accuracy and precision
  • Excellent written and oral communication skills
  • Ability to work in a fast-paced environment and meet tight deadlines

 

PREFERRED/NICE-TO-HAVE SKILLS/EXPERIENCE
  • Master’s Degree in Engineering, Mathematics, Statistics, Economics, Finance, or other analytical discipline.

 

The US base salary range for this full-time position is $93,300 - $144,600.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.

Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits.

 

#LI-REMOTE

#LI-RR1

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

 

California applicants can find a copy of Oportun's CCPA Notice here:  https://oportun.com/privacy/california-privacy-notice/.

 

We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Fintech: Finance + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • ability-to-meet-deadlines
  • microsoft-excel
  • microsoft-powerpoint