Qureos Mentor

Jefferies LLC

<div>Jefferies is looking for a highly experienced Senior Data Engineer to join the Reference Data Group within our Technology division. You will play a key role in designing, building, and managing the firm's critical reference data platforms &mdash; including Security Master , Account Master , and Counterparty Master &mdash; which underpin trading, risk, compliance, and operations across the firm.
This is a high-impact, hands-on engineering role. You will work closely with business stakeholders, data consumers, and cross-functional technology teams to deliver robust, scalable, and well-governed data pipelines and platforms on modern cloud infrastructure.
Reference Data at Jefferies is foundational &mdash; the data you build and manage powers trading systems, regulatory reporting, risk models, and client-facing applications globally.
About the Team
The Reference Data Group is responsible for the authoritative master data for securities, accounts, and counterparties at Jefferies. The team manages end-to-end data ingestion from vendors and internal systems, normalization, golden record creation, and distribution to downstream consumers across the firm. We operate on a modern cloud-native stack centered on Snowflake , AWS , and Apache Airflow , and follow engineering best practices including CI/CD, code review, and automated testing.
Key Responsibilities
<ul><li>Design, build, and maintain scalable data pipelines for Security Master, Account Master, and Counterparty Master using Python and Apache Airflow .
</li><li>Develop and optimize complex data transformations, stored procedures, and views in Snowflake , ensuring high performance and data quality.
</li><li>Own the end-to-end lifecycle of reference data &mdash; from source ingestion and normalization through golden record creation and downstream distribution.
</li><li>Collaborate with data consumers across trading, risk, compliance, and operations to understand requirements and deliver reliable data products.
</li><li>B uild and maintain infrastructure-as-code and deployment pipelines using AWS services, Git , and CI/CD tooling.
</li><li>Implement data quality frameworks, lineage tracking, and monitoring to ensure the accuracy, completeness, and timeliness of reference data.
</li><li>Participate in design and code reviews, contribute to engineering standards, and mentor junior engineers.
</li><li>Work with vendors and external data providers (e.g. Bloomberg, Refinitiv) to onboard and manage data feeds.
</li><li>Contribute to platform modernization initiatives and help drive adoption of best practices across the team.
</li><li>Troubleshoot production data issues, perform root cause analysis, and implement preventative measures.
</li></ul>Required Skills and Experience
Required:
<ul><li>7+ years of hands-on data engineering experience
</li><li>Expert-level Python for data engineering and automation
</li><li>Strong Snowflake experience &mdash; SQL, stored procedures, streams, tasks, and performance tuning
</li><li>Production experience with Apache Airflow &mdash; DAG design, scheduling, dependency management
</li><li>Solid AWS cloud experience &mdash; S3, Lambda, Glue, IAM, or equivalent services
</li><li>Proficient with Git, branching strategies, pull requests, and code review workflows
</li><li>Experience with CI/CD pipelines &mdash; GitHub Actions, Jenkins, or equivalent
</li><li>Strong understanding of data modelling &mdash; dimensional, relational, and hub-spoke patterns
</li><li>Experience building and operating production-grade data pipelines at scale
</li><li>Financial services experience is preferred but not required. Strong candidates from other industries with excellent data engineering credentials and a desire to learn financial domain concepts are encouraged to apply.
</li></ul>Nice to have:
<ul><li>Experience with financial reference data &mdash; Security Master, Counterparty, or Account data
</li><li>Knowledge of financial instruments &mdash; equities, fixed income, derivatives, or FX
</li><li>Familiarity with data vendors such as Bloomberg , Refinitiv , or FactSet
</li><li>Experience with data governance , lineage tools, or metadata management
</li><li>Familiarity with dbt or similar transformation frameworks
</li><li>Exposure to Kafka or event-driven data architectures
</li><li>Experience in a regulated financial services environment
</li></ul>Core Competencies
<ul><li>Communication: Ability to clearly articulate technical concepts to non-technical stakeholders including business analysts, traders, and senior management.
</li><li>Collaboration: Strong team player who works effectively across engineering, business, and operations teams in a fast-paced environment.
</li><li>Problem Solving: Analytical mindset with a track record of diagnosing complex data quality and pipeline issues in production environments.
</li><li>Ownership: Takes end-to-end accountability for data products &mdash; from design through delivery, monitoring, and continuous improvement.
</li><li>Adaptability: Comfortable managing multiple priorities and adapting to changing business requirements in a dynamic financial services environment.
</li></ul>What we offer
<ul><li>Opportunity to work on high-visibility, firm-critical data infrastructure used across global trading and operations.
</li><li>Collaborative, engineering-led culture with strong emphasis on code quality, testing, and continuous improvement.
</li><li>Access to modern cloud tooling and the opportunity to influence platform architecture decisions.
</li><li>Exposure to a wide range of financial products and business domains across a leading global investment bank.
</li></ul>#LI-JD1</div>

Senior Data Engineer - Reference Data (Assistant Vice President)

<div>Company
Jefferies, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, Jefferies provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management. The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals.
Role Overview
Jefferies is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands-on engineering leadership role focused on designing and delivering scalable, cloud-native, event-driven platforms that enable data-driven and intelligent solutions across Jefferies&rsquo; client-facing business units.
The role will form part of the Madison CRM &amp; Analytics programme and will require a strong combination of deep technical expertise, end-to-end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high-performance platforms and user-facing solutions that support critical front-office workflows.
This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice.
Key Responsibilities
<ul><li>Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI.
</li><li>Build, enhance, and operate event-driven, real-time data pipelines using Kafka and related streaming technologies.
</li><li>Provide deep technical expertise in distributed systems, data architecture, and scalable platform design.
</li><li>Design, implement, and maintain Java-based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services.
</li><li>Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift.
</li><li>Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React.
</li><li>Own solutions end-to-end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement.
</li><li>Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience.
</li><li>Mentor and guide junior and mid-level engineers, setting high technical standards through code reviews, design reviews, and hands-on technical leadership.
</li><li>Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction.
</li><li>Partner closely with business stakeholders, product managers, and cross-functional technology teams to translate requirements into robust technical solutions.
</li><li>Optimise systems for performance, scalability, resiliency, reliability, and low-latency operation.
</li><li>Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements.
</li><li>Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution.
</li><li>Support production systems, ensuring timely issue resolution, effective root-cause analysis, and ongoing service improvement.
</li></ul>Required Skills and Experience
<ul><li>Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment.
</li><li>Advanced backend engineering experience with Java 8+, Spring Boot, and microservices-based architectures.
</li><li>Strong Python development experience, preferably with FastAPI or similar modern API frameworks.
</li><li>Proven experience designing and building cloud-native, distributed, scalable, and resilient systems.
</li><li>Hands-on experience with Kafka or similar event streaming technologies.
</li><li>Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC.
</li><li>Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift.
</li><li>Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery.
</li><li>Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices.
</li><li>Experience deploying and operating production-grade systems in cloud or hybrid-cloud environments.
</li><li>Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions.
</li><li>Strong analytical and problem-solving skills, with the ability to operate independently in a complex delivery environment.
</li><li>Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners.
</li></ul>Preferred Skills
<ul><li>Experience working on CRM, client intelligence, sales enablement, or front-office data platforms.
</li><li>Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology.
</li><li>Familiarity with AWS or other public cloud platforms.
</li><li>Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
</li><li>Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices.
</li><li>Experience working in globally distributed Agile engineering teams.
</li><li>Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments.
</li></ul>Candidate Profile
The ideal candidate will be a hands-on engineering leader who combines strong technical depth with pragmatic delivery judgement. They will be comfortable moving between architecture, coding, code reviews, stakeholder engagement, and production support. They should demonstrate ownership, intellectual curiosity, strong communication skills, and a commitment to delivering high-quality technology solutions in a fast-paced environment.
They will be expected to set technical direction, raise engineering standards, and help build scalable platforms that support Jefferies&rsquo; client-facing businesses.
#LI-JD1</div>

Senior Full Stack/Native Cloud Engineer (Vice President)

<div>Summary: Top investment bank is seeking an Equity Research Associate with deep scientific background to support Biotechnology Analyst and Senior Pharma &amp; Biotech analyst (#1 ranked SMID Biotech/4x ranked team). 
Responsibilities will include:
<ul><li>Conducting proprietary research evaluating drug pipelines by analyzing preclinical and clinical data, attending medical conferences, and speaking with key opinion leaders
</li><li>Building and maintaining financial models
</li><li>Writing research reports for companies under coverage
</li><li>Creating statistical models/analyses of clinical trials
</li><li>Interpret and analyze industry/company news, patent law and litigations, and clinical data
</li><li>Conceiving and executing differentiated project ideas
</li>Communicating with company management, internal sales and trading personnel, and institutional investors 
<li>
</li></ul>Key qualifications:
<ul><li>Advanced degree (PhD/MD/PharmD) in life sciences &ndash; immunology/neuroscience/oncology experience is a plus
</li><li>Ideal candidate qualities include competitiveness, drive, strong work ethic, creativity, desire to be great, enthusiasm to learn, and a team player
</li><li>Sharp analytical skills in dissecting preclinical/clinical data
</li><li>1+ years of experience in biopharmaceuticals equity research, buy-side, healthcare consulting, or biopharmaceutical industry
</li><li>High proficiency in written/verbal communication
</li><li>Statistical background/Python is desirable
</li><li>Experience with clinical trial statistics and designs are a plus
</li></ul>Primary Location Full Time Salary Range of $100,000 - $120,000.</div>

Equity Research Senior Associate – Biotechnology (#1 ranked SMID Biotech/4x ranked team)

Join Jefferies LLC and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Jefferies LLC

About Company

Senior Data Engineer - Reference Data (Assistant Vice President)

Senior Full Stack/Native Cloud Engineer (Vice President)

Equity Research Senior Associate – Biotechnology (#1 ranked SMID Biotech/4x ranked team)