Freddie Mac
Software Engineer, Professional, Financial Engineering (Hybrid - 3 Days in Offic
Freddie Mac, Mc Lean, Virginia, us, 22107
At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.
Position Overview
Are you interested in using your software engineering skills to build numerical systems that enable machine learning and analytics on large data sets? Financial Engineering is seeking a Software Engineer to develop production systems that involve data science and machine learning. We are looking for a creative and talented individual who loves to code. Apply now and learn why there’s #MoreAtFreddieMac! Our impact
We partner with the Multi-family BTO and Multi-family modeler team
We build systems to make their models, data, and analytics available for business use
We ensure that our systems are robust, scalable and fault-tolerant
Your impact
Implement new models and data transformations using Python based technologies such as PySpark and Pandas
Implement and expose model as web service API using Flask and deploy web services to AWS EKS
Optimize Python code to reduce runtime and memory usage
Write high quality automated tests to validate your code
Peer review other team member’s code and help them with design and implementation challenges
Utilize theoretical knowledge of computational finance to design, develop and support applications and/or systems within the financial modeling and research area.
Design and develop new code and review existing code changes to ensure standard technology development practices are met.
Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks.
Assist with application development and with modification and/or maintenance of applications. Demonstrate theoretical knowledge of development tools and languages.
May assist other areas of financial research and engineering when defining requirements for systems applications.
Qualifications
At least 2 - 4 years of experience developing in Python
Technically and quantitatively oriented with a Master's degree in Computer Science, , Computational Finance, or a directly related quantitative field
Experience building production systems for business-critical processes
Experience with building and integrating tools, including knowledge of Gradle, Jenkins, Git and Docker.
Experience developing with large microservice based architectures, container orchestration frameworks.
Demonstrated experience with relational databases including MSSQL, MySQL
Experience writing automated unit, integration, regression, performance and acceptance tests
Solid understanding of software design principles
Keys to Success in this Role
Passionate about hands-on software development
Strong collaboration and communication skills (both written and verbal), including interacting with data scientists on technical topics
Desire to continuously improve the technical quality and architecture of our systems to respond to business needs
Ability to quickly learn, apply and deploy new technologies to solve emerging problems
Current Freddie Mac employees please apply through the internal career site. Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. CA Applicants:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the
Los Angeles County Fair Chance Ordinance
for Employers and the
California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit
www.BountyJobs.com
and register with our referral code: MAC. Time-type:Full timeFLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our
Careers
site. This position has an annualized market-based salary range of $103,000 - $155,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant. #J-18808-Ljbffr
Are you interested in using your software engineering skills to build numerical systems that enable machine learning and analytics on large data sets? Financial Engineering is seeking a Software Engineer to develop production systems that involve data science and machine learning. We are looking for a creative and talented individual who loves to code. Apply now and learn why there’s #MoreAtFreddieMac! Our impact
We partner with the Multi-family BTO and Multi-family modeler team
We build systems to make their models, data, and analytics available for business use
We ensure that our systems are robust, scalable and fault-tolerant
Your impact
Implement new models and data transformations using Python based technologies such as PySpark and Pandas
Implement and expose model as web service API using Flask and deploy web services to AWS EKS
Optimize Python code to reduce runtime and memory usage
Write high quality automated tests to validate your code
Peer review other team member’s code and help them with design and implementation challenges
Utilize theoretical knowledge of computational finance to design, develop and support applications and/or systems within the financial modeling and research area.
Design and develop new code and review existing code changes to ensure standard technology development practices are met.
Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks.
Assist with application development and with modification and/or maintenance of applications. Demonstrate theoretical knowledge of development tools and languages.
May assist other areas of financial research and engineering when defining requirements for systems applications.
Qualifications
At least 2 - 4 years of experience developing in Python
Technically and quantitatively oriented with a Master's degree in Computer Science, , Computational Finance, or a directly related quantitative field
Experience building production systems for business-critical processes
Experience with building and integrating tools, including knowledge of Gradle, Jenkins, Git and Docker.
Experience developing with large microservice based architectures, container orchestration frameworks.
Demonstrated experience with relational databases including MSSQL, MySQL
Experience writing automated unit, integration, regression, performance and acceptance tests
Solid understanding of software design principles
Keys to Success in this Role
Passionate about hands-on software development
Strong collaboration and communication skills (both written and verbal), including interacting with data scientists on technical topics
Desire to continuously improve the technical quality and architecture of our systems to respond to business needs
Ability to quickly learn, apply and deploy new technologies to solve emerging problems
Current Freddie Mac employees please apply through the internal career site. Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. CA Applicants:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the
Los Angeles County Fair Chance Ordinance
for Employers and the
California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit
www.BountyJobs.com
and register with our referral code: MAC. Time-type:Full timeFLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our
Careers
site. This position has an annualized market-based salary range of $103,000 - $155,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant. #J-18808-Ljbffr