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Data Reporting Engineer

Remote:

Full Remote

Salary:

96 - 144K yearly

Experience:

Mid-level (2-5 years)

Work from:

District of Columbia (USA), United States

Offer summary

Qualifications:

Experience analyzing large datasets using Python or R on AWS., Deep knowledge of SQL is required., Master’s in data science, Quantitative Analytics, Statistics, or Economics is preferred., At least 3-5 years of financial data analysis experience..

Key responsabilities:

Understand structured finance transactions and loan securitizations.
Execute proprietary in-house forecasting and pricing models developed in Python and R.

The Oakleaf Group SME http://www.oakleaf.com/

51 - 200 Employees

See all jobs

Job description

The Oakleaf Group is a mortgage and financial services consulting firm with expertise in risk management and financial modeling for the mortgage and banking industries. Our clients are banks and non-bank mortgage firms, government agencies, law firms, insurance companies, institutional asset managers, and hedge funds.

We differentiate ourselves through our approach to the relationships with our clients. We begin with the belief that each client relationship will be ongoing, spanning multiple projects/engagements. We invest in communication and research to ensure that we fully understand the drivers of every client’s short- and long-term success. We align our goals with those of our clients, and we continuously monitor and adjust to ensure that the relationship stays strong.

We are seeking a Data Reporting Engineer to measure and analyze complex financial forecasts and risks relating to large loan portfolios. You will analyze forecast and price cashflows on housing securitizations and assess economic scenarios including housing prices and interest rates.

Responsibilities:

Understand structured finance transactions and loan securitizations, and understand how such transactions are modeled in Python and R.
Execute proprietary in-house forecasting, pricing and NPV/discounted cashflow models developed in Python and R and analyze results.
Measuring and monitoring credit risk on a large housing finance and credit guarantee book of business.
Understand and assess input data including lineage, transformations, and versions, and how changes to data drive changes in forecasts.
Analyze forecasts and implications interest rates and housing prices.

Qualifications:

Experience analyzing large datasets using Python or R on AWS is required.
Deep knowledge of SQL is required.
Knowledge of GSE multifamily lending business, underwriting requirements, multifamily securitizations, or GSE regulatory capital framework is preferred.
Experience communicating complex financial results to management with presentations or memos.
Master’s in data science, Quantitative Analytics, Statistics, or Economics is preferred.
At least 3-5 years of financial data analysis experience.
This is a remote position and requires the ability to work in a home office environment with the ability to work effectively surrounded by moderate home environment noise.

Pay Range

$50—$75 USD

Compensation & Benefits

The Oakleaf Group offers a competitive compensation based on the candidate’s skills and experience. Oakleaf offers healthcare benefits to include health, dental, and vision plans as well as other benefits in accordance with applicable Federal or State law.

Equal Employment Opportunity

The Oakleaf Group is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. The Oakleaf Group does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identify or expression, mental or physical disability, genetic information, veteran status or any other basis prohibited by applicable law.

Accommodations

Oakleaf is committed to providing equal employment opportunity to all job seekers. Reasonable accommodations for job seekers with disabilities will be provided. Individuals with a disability that are unable to use our online tools to search and/or apply for jobs should email accomodations@Oakleaf.com, include "Applicant Accommodation" in the subject line of the email, and specify the assistance needed in the body of the email. Please note that this mailbox is reserved for job seekers who need to request an accommodation to apply for a job. Emails, for any other reason, will not receive a response.