Lead Machine Learning

S&P Dow Jones Indices is seeking a Associate Director, Machine Learning Engineering to be a key player in the IT application development team to build algorithms for index creation and management. The candidate will develop solutions to process alternative data from structured and unstructured sources, generate meaningful data classifications and text scoring. The candidate will be part of an IT team responsible for driving innovation in Thematics and Factors index methodologies and working closely with R&D teams. The candidate will be involved in innovative index development concepts such as industry classification, sentiment analysis and index rebalance algorithms. This role requires a seasoned engineer who works effectively, both independently as well as collaboratively, in a team environment. The candidate must be a delivery-focused person with either experience in or knowledge of the finance industry. Responsibilities: Build solutions to process alternative data from structured and unstructured sources Create models based on machine learning techniques Identify suitable NLP/ML algorithms to apply against various datasets Develop Supervised, Unsupervised, and Reinforcement Machine Learning Algorithms Apply regression, classification, clustering, dimension reduction algorithms Design Neural Networks modelling for data analysis Apply Natural Language Processing techniques for sentiment analysis and topic modelling Data modeling and evaluation of underlying data structure to discover patterns Generate training datasets, conduct data labelling, and train models Develop and deploy ML solutions in AWS Sagemaker Develop applications in Java and Python to interface with ML models Develop data workflows using AWS Kinesis, EMR, Glue, Lambda Develop solutions to access datasets in AWS S3, Redshift, RDS (MySQL, PostgreSQL) Provide effective communication regarding issues, testing status and potential risks Effectively interact with global customers, business users and IT staff Qualifications: Bachelor's degree in Computer Science or Financial Engineering is required, or in lieu, a demonstrated equivalence in work experience 10+ years of experience in software development activities AWS Certified Machine Learning Specialty or similar certification is desired Strong concepts of linear algebra, probability, statistics, multivariate calculus Good experience in developing Machine Learning models Good knowledge of various ML Vectorizations & Classifiers Good knowledge of Natural Language Processing Skilled in Data modelling and evaluation and good understanding of Data Science Experience in Python or Java programming Experience in AWS Sagemaker Experience in AWS database and messaging technologies Excellent communication skills are essential, with strong verbal and writing proficiencies At S&P Dow Jones Indices, our role can be described in one word: essential. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world; with over 1,000,000 indices, S&P Dow Jones Indices defines the way people measure and trade the markets. We provide essential intelligence that helps investors identify and capitalize on global opportunities. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.spdji.com. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Please note that S&P Global is a federal contractor, and in keeping with the US Government’s federal contractor vaccine mandate, the company plans to require all employees in the US to be fully vaccinated if and when such requirements becomes enforceable. S&P Global will also follow other state and local vaccine requirements which may apply. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.  US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 270045 Posted On: 2022-07-28 Location: Virtual, Alberta, Canada