{"data":{"company":{"name":"Equity IT","slug":"equity-it","logo_url":"https://logos.yubhub.co/mlp.eightfold.ai.png","canonical_domain":"mlp.eightfold.ai","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"The United States’ OpenAI Equity Stake, Meta The Neocloud, Karp’s Attack - 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As a Core Tech Support Engineer, you will provide day-to-day application support across key functional areas including Treasury, Middle Office, Operations, Finance and Compliance.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Provide day-to-day application support across key functional areas including Treasury, Middle Office, Operations, Finance and Compliance</li>\n<li>Monitor production stability, troubleshoot issues and drive timely resolution to deliver a high standard of support to end users</li>\n<li>Support incident, problem and release management activities to help maintain a stable and resilient production environment</li>\n<li>Partner closely with development teams to support new feature delivery and ensure applications perform reliably in production</li>\n<li>Contribute to process improvement and automation initiatives that enhance efficiency and reduce operational risk</li>\n<li>Work with DevOps and engineering tools including TeamCity, Jenkins, GitHub, Octopus and Confluence</li>\n<li>Lead outage calls, coordinate stakeholders and provide clear, timely updates to senior management during production incidents</li>\n<li>Take ownership of incident communications and postmortem documentation, helping drive follow-through and continuous improvement</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>Bachelor&#39;s degree or postgraduate qualification in Computer Science, Engineering or a related field</li>\n<li>2 to 4 years of experience in application support or a related production support environment</li>\n<li>Strong SQL skills and working knowledge of relational database systems</li>\n<li>Ability to support both Windows and Unix/Linux environments, with solid comfort working in Unix</li>\n<li>Strong problem-solving and analytical skills, with the ability to assess issues quickly and respond effectively</li>\n<li>Ability to learn new systems, technologies and business concepts quickly</li>\n<li>Strong written and verbal communication skills, including the ability to communicate clearly during high-pressure situations</li>\n<li>High level of ownership, commitment and teamwork, with an energetic, self-starting and independent approach</li>\n</ul>","enriched_at":1785792052494},{"id":"job_a5374e46-63b","title":"Software Engineer - Efficiency Engineering and AI Enablement","source_url":"https://mlp.eightfold.ai/careers/job/755957837780","location":"Miami, Florida","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"IT","description":"<p>We are seeking a Software Engineer to join our Efficiency Engineering &amp; AI Enablement team at Millennium, a global alternative investment firm.</p>\n<p>The team improves the speed, quality, and effectiveness of the firm&#39;s Production Support and Quality Engineering organizations, focusing on engineering productivity, workflow automation, software quality, and the practical application of AI and large language model technologies.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and deliver internal applications, automation, and workflow tools that improve productivity, operational consistency, visibility, and quality across Production Support and Quality Engineering.</li>\n<li>Develop AI-enabled solutions for use cases such as knowledge assistance, incident analysis and triage, issue summarization, test-case generation, defect analysis, and engineering productivity.</li>\n<li>Rapidly translate operational challenges into working prototypes, then evolve successful solutions into secure, maintainable, and scalable production applications.</li>\n<li>Integrate large language models and AI capabilities into internal workflows using APIs, open-source libraries, prompt engineering, retrieval-augmented generation, and agentic workflows.</li>\n<li>Partner with Production Support, Quality Engineering, and engineering stakeholders to identify requirements, validate solutions, incorporate feedback, and drive adoption.</li>\n<li>Build and maintain backend services, APIs, and frontend interfaces using modern application development and cloud technologies.</li>\n<li>Build, package, deploy, and support containerized applications in cloud environments.</li>\n<li>Define and track measurable outcomes, including time saved, reduced manual effort, faster testing cycles, and improved incident response.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or a related field.</li>\n<li>Two to five years of professional software engineering experience building applications, internal tools, automation, or engineering productivity solutions.</li>\n<li>Proficiency in modern backend languages and frameworks, such as Python with FastAPI or Java with Spring Boot, along with experience building frontend applications using React, Next.js, or Angular.</li>\n<li>Working knowledge of relational databases such as PostgreSQL.</li>\n<li>Hands-on experience with, or a strong demonstrated interest in, applying AI and LLM technologies to conversational tools, intelligent automation, summarization, or AI-assisted workflows.</li>\n<li>Familiarity with AWS or another cloud platform, Docker, and containerized application development and deployment.</li>\n<li>Ability to move quickly from idea to prototype to production while applying sound engineering judgment and maintaining quality, security, and scalability.</li>\n<li>Strong problem-solving, stakeholder partnership, and communication skills, supported by a collaborative and feedback-driven working style.</li>\n</ul>\n<p>Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000.</p>","enriched_at":1785532335076},{"id":"job_a7cf46b6-109","title":"Senior Quantitative Developer","source_url":"https://mlp.eightfold.ai/careers/job/755957773457","location":"New York, New York","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>We are seeking a Senior Quantitative Developer to join our team at Equity IT in New York.</p>\n<p>Millennium is a global, diversified alternative investment firm, founded in 1989. Our mission is to deliver results for our investors.</p>\n<p>As a Senior Quantitative Developer, you will be responsible for designing, developing, and maintaining low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing, developing, and maintaining low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.</li>\n<li>Partnering directly with central trading teams to optimize execution performance across businesses and regions.</li>\n<li>Reducing system latency using advanced network and systems programming techniques and other performance-focused methodologies.</li>\n<li>Building systems, interfaces, and tools for historical market data analysis and trading simulations to improve research productivity and system testability.</li>\n<li>Developing and maintaining automated tests, performance benchmarking frameworks, and internal engineering tools.</li>\n<li>Collaborating with trading teams in a fast-paced environment to gather requirements and deliver effective, timely solutions.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>A Bachelor’s degree in Computer Science or a related field.</li>\n<li>10+ years of professional software development experience, including at least 5 years in a front-office financial services environment.</li>\n<li>Strong expertise in data structures, algorithms, and object-oriented programming in C++.</li>\n<li>Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.</li>\n<li>Strong understanding of low-latency and real-time system design and implementation.</li>\n<li>Deep knowledge of Linux system internals and networking.</li>\n<li>Strong financial markets experience across multiple asset classes, with a focus on real-time, low-latency trading systems for equities and futures.</li>\n<li>Proficiency using LLM-based tools to accelerate development, improve code quality, and enhance productivity; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000.</p>","enriched_at":1785176080038},{"id":"job_5900472b-ace","title":"Linux Engineer - Latency Critical Trading Technology","source_url":"https://mlp.eightfold.ai/careers/job/755956008380","location":"New York, New York","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>We are seeking a Linux Engineer to join our Latency Critical Trading team at Equity IT. As a Linux Engineer, you will be responsible for supporting and maintaining the firm&#39;s globally distributed, trading-oriented Linux stack for latency-critical environments. You will partner with application developers and portfolio managers to understand business requirements and translate them into technical deliverables. Your responsibilities will also include assisting in the design and build of new ultra-low-latency trading capabilities, monitoring the performance, stability, and health of the latency-critical computing environment, and troubleshooting complex production issues.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting and maintaining the firm&#39;s globally distributed, trading-oriented Linux stack for latency-critical environments</li>\n<li>Partnering with application developers and portfolio managers to understand business requirements and translate them into technical deliverables</li>\n<li>Assisting in the design and build of new ultra-low-latency trading capabilities</li>\n<li>Monitoring the performance, stability, and health of the latency-critical computing environment</li>\n<li>Troubleshooting complex production issues, including packet loss, high latency, instability, kernel bypass, routing and switching, multicast protocols, and precision timing systems</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science or a related field</li>\n<li>Strong understanding of Linux system internals, including kernel operations, memory management, sockets, and interrupts</li>\n<li>Working knowledge of kernel bypass technologies such as Onload or VMA</li>\n<li>Solid understanding of network protocols such as TCP/IP, UDP, and IGMP</li>\n<li>Knowledge of FPGA accelerators and smart NICs</li>\n<li>Ability to automate manual and infrastructure processes using Python, Perl, or another high-performance interpreted language</li>\n</ul>\n<p>Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000.</p>","enriched_at":1784290492553},{"id":"job_220da12f-84e","title":"Product Manager - Equity Volatility","source_url":"https://mlp.eightfold.ai/careers/job/755957274122","location":"New York, New York","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>We are seeking a Product Manager - Equity Volatility to join our Information Technology team at Equity IT in New York.</p>\n<p>The Equity Volatility technology team builds and supports proprietary tools and services used across the business for research, strategy backtesting, and portfolio risk management in equities derivatives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with investment teams and business stakeholders to gather, refine, and synthesize requirements across the Equity Volatility platform</li>\n<li>Analyze upstream and downstream data dependencies and translate business needs into clear BRDs, FRDs, JIRA tickets, and project plans</li>\n<li>Manage day-to-day project execution, identifying, escalating, and helping resolve issues, conflicts, and delivery roadblocks</li>\n<li>Create and maintain product roadmaps and related project artifacts to align stakeholders and manage expectations</li>\n<li>Coordinate development tasks, testing, and release validation to ensure solutions meet business and user requirements</li>\n<li>Develop user guides and platform documentation to support onboarding, adoption, and effective use of the tools</li>\n<li>Help deliver proprietary tools that support research, strategy backtesting, and risk management for equities derivatives portfolios</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of experience in a relevant business analyst and/or product management role</li>\n<li>Strong subject matter expertise in equity derivatives, including market data, pricing, and risk management methodologies, with particular focus on Volatility and Delta 1 products and related risk sensitivities</li>\n<li>Hands-on experience working on proprietary derivatives pricing, analytics, and risk management systems in close partnership with traders, risk managers, and business leaders</li>\n<li>Strong understanding of equities options markets and the requirements that support listed options execution infrastructure</li>\n<li>Experience working in a Scrum environment, with practical working knowledge of JIRA</li>\n<li>Strong communication, interpersonal, and written documentation skills</li>\n<li>Ability to perform effectively in a fast-paced, demanding environment</li>\n<li>Basic understanding of Python and the ability to read Java code to understand implemented functionality; development experience or CFA is a plus</li>\n</ul>\n<p>Salary Range: The estimated base salary range for this position is $175,000 to $250,000.</p>","enriched_at":1783585465422},{"id":"job_2bfa6355-536","title":"Senior Software Engineer – Order Management & Trade Allocation (C++/Linux)","source_url":"https://mlp.eightfold.ai/careers/job/755954320197","location":"New York, New York","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"IT","description":"<p>We are seeking a highly skilled Senior Software Engineer with deep expertise in C++ and low-latency Linux server-side development to help design and build the next generation of our firm’s global trading platform.</p>\n<p>This role focuses on the core order management and trade allocation systems that support all asset classes traded across the firm.</p>\n<p>You will be a key contributor to a greenfield architecture centered around an in-house sequencer framework that enables deterministic event ordering, real-time state management, and ultra-low-latency processing.</p>\n<h4>Responsibilities</h4>\n<p>As part of the Order Management &amp; Allocation engineering team, you will:</p>\n<ul>\n<li>Design and implement components of a new firm-wide order and execution workflow platform.</li>\n<li>Build systems that intake aggregate orders with complex allocation instructions.</li>\n<li>Perform real-time risk, compliance, and order-marking checks.</li>\n<li>Route orders to global brokers and venues across Equities, Futures, FX, and other products.</li>\n<li>Process executions and perform real-time allocation of fills to fund accounts and feed this downstream to post-trade systems.</li>\n<li>Develop real-time and historical analytics, monitoring, and reconciliation tools.</li>\n<li>Work closely with portfolio managers, traders, middle office, and risk teams to understand requirements and translate them into robust, scalable solutions.</li>\n<li>Own the end-to-end lifecycle of features: design, implementation, testing, deployment, and operational support.</li>\n<li>Contribute to system performance tuning, profiling, and optimization to meet stringent latency and throughput requirements.</li>\n<li>Participate in code reviews, architecture discussions, and ongoing improvements to development standards and best practices.</li>\n</ul>\n<h4>Qualifications &amp; Required Skills</h4>\n<ul>\n<li>7+ years of experience developing high-performance C++ server-side applications on Linux, including systems operating within sub-50µs latency budgets.</li>\n<li>Hands-on experience with Aeron, SBE, or comparable low-latency messaging technologies used in trading systems.</li>\n<li>Understanding of binary wire protocols, message serialization, and zero-copy data movement.</li>\n<li>Strong background in real-time, event-driven architectures, inter-process communication, and concurrency.</li>\n<li>Deep understanding of Linux internals, performance tuning, memory management, and network programming.</li>\n<li>Strong command of object-oriented design, data structures, algorithms, and low-level systems concepts.</li>\n<li>Familiarity with trading workflows and product knowledge across Equities, Futures, Options, and Fixed Income is strongly preferred.</li>\n<li>Experience with SQL; exposure to kdb+/q is a significant differentiator.</li>\n<li>Hands-on Java development experience is highly beneficial.</li>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.</li>\n<li>Detail-oriented with a strong sense of ownership and pride in high-quality work.</li>\n<li>Collaborative mindset with the ability and desire to help others succeed.</li>\n<li>Ability to operate effectively in a fast-paced, high-pressure environment with frequently shifting priorities.</li>\n<li>Strong communication skills with the ability to interact across technical and business teams.</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p>","enriched_at":1781789602016},{"id":"job_9e7a56df-25b","title":"Production Support Engineer","source_url":"https://mlp.eightfold.ai/careers/job/755956547917","location":"New York, New York","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We are looking for an experienced professional to join the company&#39;s Production Engineering Support team.</p>\n<p>Millennium&#39;s Production Engineering is responsible for the production systems, including Trading software, environment management, and software deployment. It involves working closely with a variety of other Technology teams at Millennium, including Level 1 Trade App Support, Developers, QA Testers, and Infrastructure Technology, as well as with Portfolio Managers and Traders.</p>\n<p>The key strategy for Production Engineering revolves around automation logic and tools, to allow management of a continually larger enterprise footprint. We use a combination of in-house and industry-standard tools for configuration and application deployment solutions, and leverage frameworks which can quickly provide a holistic view of the overall platform.</p>\n<p>We provide significant value-add during the release process, and ensure quality software is delivered in a timely manner.</p>\n<p>Principal Responsibilities</p>\n<ul>\n<li>Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.</li>\n</ul>\n<ul>\n<li>Work with portfolio managers and other internal customers to reduce operational risk through:</li>\n</ul>\n<ul>\n<li>Implementation of monitoring, reporting, and trade workflow solutions.</li>\n</ul>\n<ul>\n<li>Implementation of automated systems and processes focused on trading and operations.</li>\n</ul>\n<ul>\n<li>Streamlining development and deployment processes.</li>\n</ul>\n<p>Technical Qualification</p>\n<ul>\n<li>3+ years of development experience in Python.</li>\n</ul>\n<ul>\n<li>Experience working in a Linux / Unix environment.</li>\n</ul>\n<ul>\n<li>Experience working with PostgreSQL or other relational databases.</li>\n</ul>\n<ul>\n<li>Ability to understand and discuss requirements from portfolio managers.</li>\n</ul>\n<p>Preferred Skills and Experience</p>\n<ul>\n<li>Experience operating and monitoring low-latency trading environments.</li>\n</ul>\n<ul>\n<li>Familiarity with electronic trading concepts. Understands FIX protocol</li>\n</ul>\n<ul>\n<li>Familiarity with financial data.</li>\n</ul>\n<ul>\n<li>Broad understanding of equities, futures, FX, or other financial instruments.</li>\n</ul>\n<ul>\n<li>Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).</li>\n</ul>\n<ul>\n<li>Experience with containerization and orchestration technologies.</li>\n</ul>\n<ul>\n<li>Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.</li>\n</ul>\n<ul>\n<li>Contributions to open-source projects.</li>\n</ul>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>","enriched_at":1781107659011},{"id":"job_690493e0-204","title":"Quantitative Developer - Equity Factor Model Risk Technology","source_url":"https://mlp.eightfold.ai/careers/job/755956289712","location":"New York, New York, United States of America","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking an exceptional individual to join our Equity Factor Risk Model Technology team. As a Quantitative Developer, you will play a key role in building and enhancing our equity portfolio analytics platform. Your responsibilities will include building expertise in Barra and proprietary factor risk models, architecting and building big data infrastructure, and identifying and implementing internal process improvements. You will also work with our portfolio research team to develop and integrate new analytics models into our delivery platforms.</p>\n<p>This is an opportunity to work on highly data-intensive, compute-heavy distributed systems that power both historical and real-time portfolio analytics. You will have strong learning potential, exposure to challenging technical problems, and the chance to contribute to impactful work at the intersection of engineering, data, and quantitative analytics.</p>\n<p>To succeed in this role, you will need a minimum of 3+ years of Python development experience in a buy-side financial firm, advanced working knowledge of Cloud Compute like AWS or GCP, and experience designing and building data Lakehouse architecture. You will also need experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg. Additionally, you will need broad understanding of equity markets and portfolio construction, strong communication skills, and detail-oriented approach.</p>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.</p>","enriched_at":1780574918513},{"id":"job_73f7278f-136","title":"Business Analyst - Treasury","source_url":"https://mlp.eightfold.ai/careers/job/755956234836","location":"New York, New York, United States of America","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Finance","description":"<p>The Business Analyst - Treasury role at Equity IT is responsible for driving end-to-end delivery of Treasury initiatives while maintaining strategic alignment with business objectives. The Business Analyst will be dedicated to Financing and will be responsible for requirements documentation, project delivery, program management, domain knowledge, and collaboration with all teams involved in the software development lifecycle.</p>\n<p>Principal Responsibilities: Act as the primary Business Analyst supporting Financing initiatives, with a focus on strategic platform enhancements, workflow improvements, and production process support. Partner with Financing business stakeholders to gather, analyze, and document business, functional, and technical requirements. Own requirements definition and scoping for strategic IT solutions supporting Financing workflows, including preparation of business requirements, functional specifications, process flows, and user stories. Work closely with development teams to translate business requirements into detailed specifications, clarify open questions, and support implementation. Manage Jira backlog, story creation, prioritization, status tracking, and release cycles across multiple concurrent initiatives. Perform extensive data analysis to provide business transparency, identify deficiencies, validate system behavior, and support platform implementations. Investigate production issues and perform hands-on debugging, root cause analysis, and issue triage in partnership with Technology and business users. Coordinate and support testing efforts, including preparation of test cases, execution of UAT, validation of results, and tracking of issues through resolution. Support production roll-out activities, post-release validation, and business adoption of new functionality. Proactively engage on continuous improvement efforts for application design, support, and practice development efforts.</p>\n<p>Qualifications/Skills Required: 7+ years of hands-on experience in business analysis in financial services. Strong knowledge of Financing, including debit financing, securities lending, margin, and related financing workflows. Knowledge of fixed income financing, including collateral and repo, is a plus. Experience managing Jira, release cycles, backlog prioritization, and coordination across business and technology teams. Strong data analysis skills and the ability to identify root causes, reconcile issues, and validate outcomes across systems and workflows. Excellent organizational, verbal and written communication skills. Comfortable with direct query of enterprise databases and working with large, complex data sets to answer questions and model concepts. Strong understanding of financial products (Equity, FI, Futures, OTC, FX, etc) and financing/margin policies. Working knowledge and experience with complex business systems integration as well as object-oriented design patterns and development. Experience with development methodologies including waterfall or agile, for example. Experience coordinating projects across multiple teams / functional areas. Ability to communicate at detailed levels to development teams and users and executive updates to senior stakeholders. Ability to thrive in a dynamic, fast-paced environment with an independent/self-starter work ethic.</p>\n<p>The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>","enriched_at":1779246476362},{"id":"job_d97fb0b4-c47","title":"KDB Engineer - Equities Research Technology","source_url":"https://mlp.eightfold.ai/careers/job/755955532726","location":"New York, New York, United States of America","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Engineering","description":"<p>We are seeking a skilled KDB Engineer to join our team responsible for designing, developing, and supporting technology platforms used firmwide for equities research and trading. The successful candidate will work closely with the R&amp;D and application development teams to create next-generation high-performance real-time analytics solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Assist in the design, prototype, and implementation of high-performance real-time analytics solutions</li>\n<li>Collaborate with the team to build a market-leading portfolio PL and Risk platform</li>\n<li>Work with different technologies to provide state-of-the-art intraday analytics platforms</li>\n<li>Impact application development and architecture of highly scalable real-time platforms</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>4+ years of experience in KDB+ q application development on Linux</li>\n<li>Experience in writing and maintaining feed handlers, real-time and historical databases</li>\n<li>Experience in working with multiple q processes interacting with each other in tandem</li>\n<li>Experience in writing clean testable code</li>\n<li>Basic understanding of computer networking</li>\n<li>Experience working with various monitoring tools</li>\n<li>Basic understanding of equities, linear products, and financial markets</li>\n<li>Good team player with a strong willingness to participate and help others</li>\n</ul>\n<p>Nice-to-have:</p>\n<ul>\n<li>Cross-asset risk analytics experience</li>\n<li>Experience building large-scale real-time portfolio risk and PL engines</li>\n<li>Experience rebuilding platforms to scale horizontally with the business</li>\n<li>Experience with KDB+ q or interfacing C/C++ with KDB</li>\n</ul>","enriched_at":1778710090390}],"category_normalised":[{"category":"engineering","count":10},{"category":"it","count":6},{"category":"finance","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":6},{"week_start":"2026-05-04","count":1},{"week_start":"2026-05-11","count":1},{"week_start":"2026-05-18","count":1},{"week_start":"2026-06-01","count":1},{"week_start":"2026-06-08","count":1},{"week_start":"2026-06-15","count":1},{"week_start":"2026-07-06","count":1},{"week_start":"2026-07-13","count":1},{"week_start":"2026-07-20","count":1},{"week_start":"2026-07-27","count":2}],"trend":"stable","wow_pct":100},"momentum":{"recent_14d":3,"prior_14d":2,"growth_pct":50,"classification":"stable"},"salary_vs_industry":{"company_median":212500,"industry_median":null,"percentile":null,"sample_size":10,"by_region":[{"region":"United States","company_median":212500,"industry_median":null,"sample":10}],"transparency_pct":59,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":17,"industry_total":17,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.303,"skill_weighted_score":0.265,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"SQL","count":3,"score":0.426},{"skill":"Java","count":3,"score":0.299},{"skill":"Data Structures","count":3,"score":0.288},{"skill":"Python","count":5,"score":0.244},{"skill":"Linux","count":3,"score":0.204},{"skill":"Equities","count":3,"score":0.204},{"skill":"Futures","count":3,"score":0.204}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":16,"share_pct":94.1},{"region":"India","count":1,"share_pct":5.9}],"emerging":[{"region":"United States","recent_30d":4,"prior_30d":2,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":18,"industry_median_days_open":null,"long_open_count":8,"closure_rate_pct":67}}}}