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Software Engineer

New York City, New York Moody s Corporation

Software Engineer
Role/Responsibilities In this role you will be a member of the Moodys Analytics development team, creating and supporting some of the industrys leading software solutions for the structured finance industry. You will work directly with the various stakeholders to support key applications and processes. You will be participating in strategy and brainstorming meetings and leading data-driven discussions. You will have opportunity to learn the intricate details of structured finance business and collaborate on POC projects utilizing AI/ML, AWS, Graph Databases, elastic search, streaming frameworks and etc.

* Understand and support the various data collection processes and distribution of all structured finance performance data (RMBS,CMBS, ABS, Agency, CLO/CDO asset classes). The data that we process is utilized in multiple internal and external products and solutions.

* Core activities will include supporting existing processes and applications, SQL server development, Apache Spark ETL/Streaming, new application modules and reports, developing new products in the structured finance space, as well as refactoring the existing infrastructure, general user support, periodic data auditing, troubleshooting and establishing a feedback loop to help identify problems and prioritize enhancements.

* Associate will be working within a team of developers in a startup like and highly collaborative culture, in a highly dynamic development environment.

Job Req ID 14635BRtext
Line of Business CS Structured (CS STRUCTURED)text
Securities Trading Policy (STP) Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Entity Moody’s Analytics (MA)text
Posting Title Data Developertext
EEO Policy Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moodys also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email *************************.. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law.
City (Select ONLY the primary location) New York multi-select
Required Qualifications
* Minimum 4 years of experience working with object oriented programming languages (C#, Java, C++, or Python)

* Strong knowledge of data structures, algorithms, and designing for performance.

* Solid understanding of relational database technologies. Hands-on database development skills including SQL programming (developing stored procedures, functions and reports. Experience developing low-latency SQL queries/stored procedures. Experience working with one of the following: SQL Server 2008/2012/2014, Oracle, Sybase, MySQL, PostgreSQL databases.

* Proficiency with Spark 2.0+, HDFS ,parquet and Spark SQL.

* Experience engineering stream data pipelines with Spark Streaming and/or Kafka-Streams and developing data-driven products.

* Minimum 2 years of experience working with high volume OLTP/OLAP systems.

* 1+ years hands-on work experience in designing and building large-scale data applications and pipelines that are well-designed, cleanly coded, well-documented, operationally stable, and timely delivered.

* Working knowledge of AWS services like Lambda, EMR is a plus.

* Basic knowledge of REST and SOAP.

* Experience using/building APIs and knowledge of search technologies (Solr, Elastic Search)

* Minimum 2 years of experience with web UI frameworks.

* You will be involved in all aspects of SDLC, maintenance and support of global systems and be heavily involved in working with the business.

* You must be a quick learner with a strong aptitude for success in a fast paced and demanding environment.

* Good verbal/written communication skills required

* General financial industry concepts/ awareness required

Regular/Temporary Regulartext
Working at Moody’s Moody’s is an essential component of the global capital markets, providing credit ratings, research, tools and analysis that contribute to transparent and integrated financial markets. Moody’s Corporation (NYSE: MCO) is the parent company of Moody’s Investors Service, which provides credit ratings and research covering debt instruments and securities, and Moody’s Analytics, which offers leading-edge software, advisory services and research for credit and economic analysis and financial risk management. The Corporation, which reported revenue of $4.2 billion in 2017, employs approximately 11,900 people worldwide and maintains a presence in 41 countries. Further information is available at **************.
Moodys Analytics (MA) is the leading risk management consulting company and combines deep industry expertise with unique enterprise risk management software and analytics. The company provides software, services and financial information to banks, insurance companies, non-financial corporations, and institutional investors in over 80 countries.

Experience Level Experienced Hiresingle-select
Job Category Engineering & Technologysingle-select
Job Sub Category Software Engineeringsingle-select
Preferred Qualifications
* Experience with data analysis, Big Data and BI tools is a plus.

* Experience with NoSQL data stores (Cassandra, MongoDB, etc.) is a plus

* Working experience applying machine learning and statistics to real world problems is a plus.

* Fundamental understanding of capital markets preferred


Entity Moodys Analytics provides financial intelligence and analytical tools supporting our clients growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps todays business leaders confidently navigate an evolving marketplace.

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