Senior Software Engineer – Compliance Search Engineer
New York, NY
Posted Aug 24, 2022 - Requisition No. 107917
Financial firms are fined millions of dollars when just one employee does something they shouldn't. It can be as serious as insider trading or as seemingly innocent as an inappropriate instant message. Keeping track of who is saying, doing, and trading what is a daunting task for compliance officers, especially with the explosion in the volume and variety of data produced by communications and trading platforms.
That’s where Bloomberg Compliance comes in. Bloomberg Compliance provides a single platform for storage, reconstruction, search and extraction of our customer’s communication, collaboration, and financial transaction data. More than 1,000 organizations use our product to manage and archive their enterprise communications as they face an ever-evolving regulatory landscape.
Bloomberg’s Compliance Search Engine lies at the heart of our infrastructure and powers complex analytical workflows across a suite of financial applications. The search team is responsible for the complete and accurate capture of customer data, ranging from trade lifecycles to email, voice, and social media data as well as Bloomberg proprietary message and chat platforms.
As part of this mission, the search team maintains and operates a sophisticated multi-tenant private SOLR cloud, hosting 2 Petabytes of data, capturing an average of 50 million communications and 700GB of indexed data a day, while serving thousands of eDiscovery requests a week.
We are currently hiring search experts as we continue to invest in scaling our platform, modernizing our infrastructure and bringing novel search workflows to market. Our present initiatives center around federation, enrichments, and utilizing quantitative methodologies within our existing workflows.
As part of our team, you will be trusted to:
- Develop and maintain new architecture to support large scale multi-tenant cloud native SOLR Search platform that is optimized for relevancy and latency
- Optimize sharding techniques to improve quick information retrieval
- Drive and balance the incorporation of new technologies while improving development practices
- Mentor others by encouraging collaboration and knowledge sharing
You’ll need to have:
- 5+ years of experience in Search Technologies like Apache SOLR, Elasticsearch, etc.
- Experience implementing large-scale search engine platforms, including effective shards management and information retrieval across structured, unstructured, and semi-structured datasets
- Proficiency in devising scalable and performant search algorithms
- Strong knowledge and experience with Python / Java / C++
- Experience with open-source frameworks (Solr, Kafka, Spark, Cassandra, etc.)
- Willingness and excitement to learn new things and work across a diverse set of languages and tools
- Bachelor’s degree in computer science or a related field, and/or related professional experience
- Excellent communication and collaboration skills
We’d love to see:
- Experience with and background in Information Retrieval, Ranking Systems, Recommendation Systems, Artificial Intelligence/Machine Learning techniques
- Experience with Search Relevance and Typeahead features
- Experience with indexing techniques to optimize for higher search engine performance
- Experience building APIs and working with Service Oriented Architectures
- Track record of improving developer experience pushing Continuous Integration/Continuous Delivery
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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