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Wellington Management

<div><h1 class="jobSectionHeader">About Us</h1>
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.<h1 class="jobSectionHeader">
About the Role</h1>
THE POSITION 
We are looking for a Data Science Analyst (Science Analyst) to join the Healthcare team within Global Investment Research. With over $100B invested in healthcare, across over 50 Portfolio Managers, this represents a flagship franchise for Wellington. The Healthcare team invests globally across the full healthcare continuum, including Biopharma, Healthcare Services and Medical Technology. The Healthcare team includes over 10 colleagues.
The Science Analyst will work as an integral team member alongside Global Industry Analysts and Portfolio Managers, helping identify where data science, AI and alternative data can create differentiated investment insight across the healthcare sector (MedTech, Pharmaceuticals, Biotech, Healthcare Services). The ideal candidate brings hands-on experience in an investment setting, strong Python, SQL and AI skills, sound judgment for turning messy inputs into outputs the team can act on, and a genuine interest in the healthcare sector and the companies operating within it. They should be comfortable working independently, setting their own priorities, and moving fluidly between deep dataset work and quick-turnaround requests.
RESPONSIBILITIES 
Responsibilities for this position will include the following:
<ul><li>Work as an integral part of the Healthcare team, partnering directly with Global Industry Analysts and Portfolio Managers.</li><li>Translate broad investment questions into testable data science workflows and analytical outputs.</li><li>Apply AI and agentic tools to streamline research workflows and contribute directly to investment idea generation.</li><li>Communicate results clearly, including limitations, confidence levels, and interpretation risk.</li><li>Serve as an experienced data science resource across the Healthcare team's coverage areas.</li><li>Rapidly get up to speed on new companies, sub-sectors, datasets, and business models as the need arises.</li><li>Assess and sequence incoming requests based on expected investment impact, feasibility, and how repeatable the resulting work would be.</li><li>Develop differentiated signals and analytical frameworks from alternative and structured datasets relevant to healthcare investing.</li><li>Evaluate dataset quality, coverage, bias, and signal durability.</li><li>Build repeatable tools, screens, and research outputs that can be used across companies and themes within the sector.</li><li>Partner with Data Engineering to productionize high-value signals where appropriate.</li></ul>
QUALIFICATIONS 
Ideal candidates will have:<ul><li>3-5+ years of experience in data science, alternative data, investment research, healthcare analytics, or a related analytical role.</li><li>Prior experience working with investment teams, research teams, or senior business stakeholders.</li><li>Strong Python and SQL skills.</li><li>Comfort with AI/LLM tooling and agentic workflows, and the ability to apply them to streamline the research process and support idea generation.</li><li>Experience working with large, messy, real-world datasets.</li><li>Hands-on experience with a variety of alternative datasets, including a track record of sourcing and evaluating new or emerging data, not just working with what's already established.</li><li>Strong ability to evaluate dataset quality, bias, representativeness, and signal robustness.</li><li>Genuine investment acumen and curiosity about markets, companies, and how data translates into an investment thesis &mdash; not just a technical interest in the data itself.</li><li>Ability to translate ambiguous investment or business questions into concrete analyses.</li><li>Strong communication skills and ability to present nuanced findings to senior stakeholders.</li><li>High judgment and comfort operating independently in ambiguous environments.</li></ul> 
LOCATION 
The Data Science Analyst will ideally be based in Wellington&rsquo;s Global Headquarters in Boston, MA. Location in the New York, NY office will also selectively be considered.
Not sure you meet 100% of our qualifications? That&rsquo;s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 90,000 - 180,000<div>
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.</div><div> 
Base salary is only one component of Wellington&rsquo;s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.</div></div>

Data Science Analyst, Equity Research, Healthcare Team

Highland Electric Fleets

<div><div>About Us</div>
<div>Highland Electric Fleets&rsquo; mission is to make electric fleets accessible and affordable for all, enabling communities to realize the benefits of cleaner, quieter and healthier fleets. Highland is North America&rsquo;s leading provider of Electrification-as-a-Service (EaaS). Founded in 2019, Highland partners with school districts, municipalities, and fleet operators to make the transition to electric fleets simple and affordable.
</div>
<div></div><div>Highland proudly serves as the Official Electric School Bus Provider of the LA28 Olympic and Paralympic Games and Team USA. From pioneering vehicle-to-grid technology to managing some of the nation&rsquo;s largest electric school bus fleets, Highland delivers reliable, cost-effective solutions that support local communities and drive the future of transportation.</div><div></div><h3 class="jobSectionHeader"> 
Job Summary:</h3>

The Federal Incentive Analyst provides support to EPA, DOE, and other federal granting agencies in implementing Highland&rsquo;s or their partner&rsquo;s awards.
<h3 class="jobSectionHeader">
Responsibilities will include:</h3><div>
<ul><li>Conducting research</li>
<li>Compiling and organizing data</li>
<li>Preparing and submitting documents</li>
<li>Coordinating with internal departments</li>
<li>Engaging with agency partners</li>
<li>Assisting with performance and financial reporting</li>
<li>Serving as a resource to the Market Development team, supporting special projects as needed</li>
</ul></div><h3 class="jobSectionHeader">Qualifications:</h3><ul>
<li>Strong problem-solving and organizational skills</li>
<li>Self-motivated: proactively assume responsibilities, with ability to operate effectively with high energy and flexibility in a fast-paced, dynamic environment</li>
<li>Ability to collaborate across departments within the company</li>
<li>Excellent communication skills</li>
<li>Excellent analytical skills</li>
<li>Interest or prior knowledge of electric vehicles, transportation, and/or energy a plus</li>
</ul><div>What You Can Expect from Highland:</div>
<ul><li>Competitive base salary and performance-based bonus program</li>
<li>A supportive, highly collaborative, team-oriented environment</li>
<li>Ability to work with bright, innovative, and forward-thinking colleagues</li>
<li>Health, Vision, and Dental coverage for employees &amp; their dependents</li>
<li>Generous Paid Time Off</li>
<li>401(k) program and company match</li></ul> 
<div></div>
<div></div><div>Highland Electric Fleets provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Highland Electric Fleets complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Federal Incentive Analyst

Chewy

<div>Job Description:
Our Opportunity 
Chewy is looking for a passionate, data-driven Senior Merchandising Operations Analyst to join our Catalog Operations Team based in Plantation, FL or Boston, MA.
Catalog Operations sits within the larger Merchandising Operations group, which is responsible for creating the systems, services, and process infrastructure that support all Chewy businesses. The team&rsquo;s mission is to be the backbone for Chewy&rsquo;s Business and Category teams, helping drive long-term customer trust, business growth, and profitability. We own Catalog, Content, and Vendor Systems &amp; Services that include automation, product, program, and operational components.
The ideal candidate will bring a strong mix of information systems knowledge, merchandising business process expertise, data analysis capability, and a forward-looking mindset toward automation and AI-enabled process improvement. This person will play a key role in owning and improving catalog data completeness across Chewy&rsquo;s item-level data, ensuring that our catalog is accurate, complete, usable, and optimized to support customer discovery, product detail page quality, business decision-making, and operational scale.
This role requires someone who is innovative, diligent, and deeply ownership-oriented. The ideal candidate is curious, capable of deep-diving complex data and process issues, and motivated to identify where AI, automation, and improved tooling can create meaningful operational leverage. They should be an advocate for responsible AI adoption, actively seeking opportunities to use emerging tools to improve quality, speed, visibility, and scalability across Catalog Operations.
What You'll Do<ul><li>
Own and improve catalog data completeness across assigned areas of the Chewy catalog, ensuring item-level data is accurate, complete, consistent, and usable for customer-facing experiences, internal operations, and business decision-making.</li><li>
Serve as a subject matter expert independently overseeing a specific body of work or process across 1&ndash;2 high-visibility, high-complexity areas.</li><li>
Execute work within assigned areas, identify and eliminate risks, issues, defects, and process gaps, and create mechanisms to monitor data quality, completeness, and operational performance.</li><li>
Use data analysis to identify catalog completeness gaps, root causes, business impact, and opportunities to improve customer discovery, PDP quality, operational efficiency, and category team outcomes.</li><li>
Champion the use of AI, automation, and scalable tooling to improve Catalog Operations processes, reduce manual work, increase quality, and accelerate decision-making.</li><li>
Partner with technical teams to drive systems improvements, AI-enabled workflows, automation opportunities, and elegant analytical tools with a high degree of autonomy.</li><li>
Develop standard operating procedures, process documentation, reporting mechanisms, and governance routines that improve consistency, scalability, and accountability.</li><li>
Communicate metrics, data insights, completeness trends, AI-enabled opportunities, and business impact to leaders in a way that informs prioritization and decision-making.</li><li>
Synthesize large quantities of complex data into usable, actionable insights for business, operations, product, and technical stakeholders.</li><li>
Support ad hoc projects and initiatives involving Catalog systems, content quality, data completeness, process automation, and operational improvement.</li><li>
Educate and partner with cross-functional stakeholders, including Business, Category, Product, Engineering, Vendor Systems, and Operations teams.</li><li>
Mentor junior team members and contractors when needed.</li></ul>
What You&rsquo;ll Need<ul><li>
BA in Economics, Finance, Business, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Master&rsquo;s degree preferred.</li><li>
2&ndash;3+ years of experience in business systems, merchandising operations, catalog operations, data analytics, or a related subject-matter expert capacity.</li><li>
Strong understanding of catalog data, item-level attributes, product content, operational workflows, data quality, or ERP/catalog systems.</li><li>
Background in creating, managing, and improving metrics and KPIs using quantitative analysis.</li><li>
Demonstrated ability to identify process inefficiencies and use automation, AI tools, or scalable mechanisms to improve quality, speed, and operational leverage.</li><li>
Proficient in SQL.</li><li>
Advanced experience with Microsoft Office products.</li><li>
Superior attention to detail and experience creating mechanisms to monitor data integrity, completeness, and operational performance.</li><li>
Strong communication, verbal, written, and interpersonal skills, with the ability to translate complex analysis into summarized business terms.</li><li>
Ability to communicate effectively with technical teams and influence cross-functional stakeholders.</li><li>
An entrepreneurial mindset and a driving passion to challenge, improve, and modernize current processes.</li><li>
Curiosity and openness toward emerging technologies, including AI-enabled tools, and a willingness to test, learn, and responsibly apply them to improve business processes.</li><li>
Demonstrated ability to work in a team environment.</li><li>
Ability to operate in ambiguous environments with speed, ownership, and commitment to quality.</li><li>
Position may require occasional travel.</li></ul>
Bonus<ul><li>
Relevant work experience using Python or R for data analytics.</li><li>
Data visualization skills using Tableau or an equivalent data visualization tool.</li><li>
Experience using AI tools, automation platforms, or machine learning-enabled workflows to improve operational processes, data quality, or analytical efficiency.</li><li>
Prior experience with software quality processes and Atlassian tools such as Confluence and Jira.</li><li>
Prior experience with ERP, PIM, catalog management, or item master data systems.</li><li>
E-commerce background is a plus.</li></ul> 

The base salary range for this role is $78,500 - $130,000.00.<ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</div>

Senior Merchandising Operations Analyst

State Street

<div>Who we are looking for
 
We are seeking a junior Technical Business Analyst to collaborate with a stellar team of BA&rsquo;s developing the product through its next phase of growth. This role focuses on technical analysis and documentation to support the Product Management team in designing new functionality and features.
With a strong technical background, the successful candidate will be able to show a successful track-record of delivering solutions where attention to detail and intellectual.
This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements. 
 
Why this role is important to us
 
The team you will be joining is a part of State Street Markets. As a leading provider of trading and lending solutions to the world&rsquo;s institutional investors, we deliver the industry&rsquo;s most innovative platforms, financing and portfolio solutions. Our capabilities are backed by proprietary, high-value research, insights and indicators that power clients&rsquo; investment decisions, accelerate performance and help investors stay ahead of shifting markets. Across our comprehensive set of solutions &ndash; data-driven macro market intelligence that give an information advantage; client-first platforms and tools that redefine trading; financing solutions that streamline liquidity access; and portfolio solutions designed to help achieve peak performance &ndash; we deliver a breakthrough edge to drive business success.
 
 
Join us if making your mark in the capital markets industry from day one is a challenge you are up for.
<div>What you will be responsible for
 
As Technical Business Analyst, Product Officer you will
 
<ul><li>Develop a deep understanding of existing Fund Connect infrastructure, data-models and database architecture.
</li><li>Conduct detailed front-to-back analysis of trading &amp; settlement workflows for asset management &amp; liquidity products.
</li><li>Deliver high-quality, detailed technical documentation business requirements in conjunction with product, technical &amp; business teams including workflow diagrams, GUI definition and screen mock-ups.
</li><li>Provide input into database technical design (Oracle, SQL server)
</li><li>Create and manage administration of documentation including product development schedules, release schedules, bug tracking and user manuals.
</li><li>Contribute to the design &amp; testing of new functionality and GUI&rsquo;s.
</li><li>Work autonomously with confidence in a fast-moving, complex technical environment.
</li><li>Build solid relationships with colleagues across multiple functional groups of differing levels of seniority. 
</li></ul></div>What we value
<div>These skills will help you succeed in this role.
 
<ul><li>Minimum of 2 years of experience in technical business analysis and/or product in a financial services environment
</li><li>Relevant experience with electronic trading platforms in the Mutual Fund, FX and/or Fixed Income space
</li><li>Highly self-motivated with exceptional integrity
</li><li>Willingness to learn and eagerness to collaborate as part of a larger team.
</li><li>Confident &amp; clear communicator
</li><li>Ability to articulate complex technical concepts to any audience. 
</li></ul></div><div>Education &amp; Preferred Qualifications
 
<ul><li>Bachelor&rsquo;s degree or equivalent
</li><li>Technically competent with the ability to code in Python, VBA and SQL
</li><li>Power user of Excel
</li><li>Messaging familiarity with FIX, REST API, SFTP, JSON, XML, SWIFT FIN/MX</li></ul></div>
Are you the right candidate? Yes!
 
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don&rsquo;t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. 
 
About State Street
 
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we&rsquo;re making our mark on the financial services industry. For more than two centuries, we&rsquo;ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data &amp; analytics, investment research &amp; trading and investment management to institutional clients. 
 
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You&rsquo;ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. 
 
Inclusion, Diversity and Social Responsibility. We truly believe our employees&rsquo; diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. 
 
State Street is an equal opportunity and affirmative action employer.
Salary Range:
$65,000 - $113,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home .
<h1 class="jobSectionHeader">About State Street
</h1>Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

Technical Business Analyst, Officer

Bevi

<div><div>Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.</div>
Ever wonder which customers are about to churn before they do, or whether that marketing campaign actually moved the needle instead of just riding a coincidence? That's this role. Bevi's go-to-market (GTM) strategy is built at the intersection of Marketing and Sales: how we acquire new customers, and how we retain and grow existing accounts. We're looking for a GTM Data Scientist who can accelerate this function. On the marketing side, you'll measure the true incremental impact of our marketing spend across the full funnel - digital and offline alike, from paid social to events to BeviMobile - and build the leading indicators that keep the team grounded in what's working between deeper reads. On the customer side, you'll build the models that flag churn risk, surface expansion and upgrade opportunities, and identify look-alike prospects. You'll partner closely with Sales, Marketing, and RevOps stakeholders to turn data into a clear point of view on what to do next. We're looking for someone who spots what needs to get built before being asked, and drives it to done rather than waiting for direction.

Your Day to Day:
<ul>
<li>Build predictive models to identify churn risk and surface upgrade/expansion opportunity across our customer base to inform proactive outreach and account prioritization.</li>
<li>Build look-alike models to identify which prospects resemble our best customers, and own cohort reporting to track how customer segments perform over time.</li>
<li>Build marketing mix models (MMM) and incrementality analyses to measure the true impact of marketing spend across the full funnel - digital and offline, including events, BeviMobile, and social - and inform marketing budget optimization decisions.</li>
<li>Identify leading indicators - including proprietary composite metrics - for weekly reporting that give early signal on marketing performance in between full MMM reads.</li>
<li>Partner with the Marketing Analytics Engineer to inform the data structures your modeling work needs, and ensure the underlying data is accurate and well understood.</li>
<li>Translate data and analytics into clear insights and recommendations.</li>
</ul>
Who You Are:
<ul>
<li>2-4 years of professional experience in data science, applied statistics, or analytics, ideally with exposure to customer/revenue analytics or marketing measurement.</li>
<li>Hands-on experience building predictive/classification models (e.g., churn, propensity, look-alike) using techniques like logistic regression, gradient boosting, or similar.</li>
<li>Experience with causal inference or marketing measurement methods (e.g., MMM, incrementality testing, difference-in-differences) - comfortable incorporating both digital and offline channels (eg events, experiential) into your models, not just clean digital data.</li>
<li>Strong SQL and Python/R for querying, modeling, and analysis.</li>
<li>Experience with data visualization tools (e.g., Looker, PowerBI, Hex).</li>
<li>A creative problem solver, comfortable designing a measurement approach when the textbook experiment isn't available.</li>
<li>You use AI tools in your own workflow to move faster (e.g., exploratory analysis, code, documentation), and think about how to make your models and analyses accessible to AI tools as well as people.</li>
<li>A proactive, go-getter mindset - you notice what needs to get built before you're asked, and drive your own work to completion without needing to be chased.</li>
<li>Excellent communication skills - able to translate complex findings into clear, actionable recommendations for non-technical stakeholders.</li>
</ul>
#LI-CD1

#LI-HYBRID<div><h4 class="jobSectionHeader">
Benefits:</h4>
<ul><li>Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer</li>
<li>401(k) with company match</li>
<li>Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc</li>
<li>Generous fully paid parental leave for both birth parents and non-birth parents</li>
<li>Fully employer paid disability and life insurances</li>
<li>Wellness and fitness reimbursements</li>
<li>Monthly stipends for cell phone use and commuting costs</li>
<li>Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too</li>
<li>Happy hours, team-building events, bagel breakfasts, Values awards - and more.</li>
</ul>
A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note-taking, just let us know if you'd prefer we don't. We'll also ask how you're learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with the Mass AI Coalition, a collaboration that aligns with our dedication to community-driven progress and the future of technology.

We're passionate about supporting career growth and would love to be part of your professional journey. We also know that talent comes in many forms. We value individual accomplishments, specialized knowledge, and genuine passion over simply checking boxes on a requirements list. Whether you're a seasoned expert or an emerging talent, we're looking for people who are ready to build what's next. If any of our open positions interest you, we'd encourage you to apply! A member of the Bevi Talent team 'recruiting@bevi.co' will be reaching out about next steps if we would like to move forward.
<h4 class="jobSectionHeader">
Accommodations:</h4>

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact recruiting@bevi.co.</div></div>

GTM Data Scientist

Cambridge Associates

<div>Firm Overview:
Cambridge Associates (&ldquo;CA&rdquo;) is a leading global investment firm. CA&rsquo;s goal is to help endowments &amp; foundations, pension plans, and ultra-high net worth private clients implement and manage custom investment portfolios that generate outperformance so that they can maximize their impact on the world. Cambridge Associates delivers a range of services, including outsourced CIO, non-discretionary portfolio management, and investment consulting. 
 
Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania. Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world. For more information, please visit www.cambridgeassociates.com . 
 
Job Description Summary:
The Investment Analyst (IA) position will be based in Arlington, VA or Boston, MA as an integral member of the CA Institute team. CA Institute is a specialized team within Cambridge Associates that serves as the firm&rsquo;s central hub for institutional research. Our research examines best practices across endowments and foundations as it pertains to portfolio management, the endowment&rsquo;s role in financial budgeting/planning, and investment oversight and governance practices.
 
The IA will split their time between three core functions: data analysis, producing research content, and client engagements. Data analysis entails the collection of client data and industry trends and validating that information is suitable for use in producing research. The research role involves using client and industry data to create content that appears in published reports and other research materials. Client engagement includes responding to time-sensitive inquiries on our data and research and supporting longer-term projects.
 
Success in this position requires first and foremost a keen eye for detail and a commitment to producing accurate work. The IA will be working with large datasets and producing research content that is widely consumed by clients and other colleagues. In addition, the position requires strong qualitative judgement during the data collection process and in helping clients determine the proper research analysis that best supports their specific needs. Finally, the IA will need to be comfortable managing multiple deadlines and working collaboratively with other team members and colleagues of the firm. 
 
 
Job Description:
RESPONSIBILITIES
<ul><li>Collect investment and financial data via surveys and other methods, ensuring data integrity through quality checking procedures.
</li><li>Communicate with clients and other colleagues of the firm throughout the data collection process and resolve any data issues that are identified.
</li><li>Analyze investment and financial data that is collected from clients and contribute to the research content that is produced in the team&rsquo;s regular research reports.
</li><li>Prepare customized analyses and exhibits for clients and other colleagues as requested.
</li><li>Respond to client inquiries that pertain to research and data that the team produces.
</li><li>Work closely with other IAs on the team to ensure there is sufficient support provided on both long-term research projects and daily assignments.
</li><li>Coordinate across client teams, other internal departments, and CA Institute team members to ensure that the most up-to-date information and insights are being used across the firm and that all stakeholders can use this information to provide excellent client service.
 </li></ul>QUALIFICATIONS
<ul><li>Strong academic credentials; BA/BS required.
</li><li>Interest in and familiarity with investment and financial concepts is essential.
</li><li>Desire to work with endowments, foundations, and nonprofit institutions.
</li><li>Demonstrated analytical and organization skills.
</li><li>Excellent oral and written communication skills.
</li><li>Ability to manage multiple projects at once while ensuring work is completed accurately and on time.
</li><li>Strong proficiency with Microsoft Office Suite, specifically Excel and PowerPoint, and ability to learn new applications quickly.
</li><li>Experience with using ChatGPT, Claude, or other AI tools to accelerate data analysis and draft comprehensive research summaries.
</li><li>Eligibility to work in the U.S. without sponsorship or restriction
</li></ul>Base salary range for this role:
Pay Range Minimum:
80000
Pay Range Maximum:
87000
In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package. Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity.
The firm is committed to the concept and practice of equal employment opportunity and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.</div>

Investment Analyst, CA Institute

mLabs

<div>Location: Remote - EU or East Coast US
Remote | Full-time
Compensation: $80K - $150K
Our client&mdash;a leading innovator in fintech, blockchain, cryptography, infrastructure, and security&mdash;is seeking an Tech Ops Manager to oversee internal systems and infrastructure for a remote-first, global team building the next generation of core banking systems.
Reporting directly to the Chief Information Security Officer (CISO), this role requires a blend of strategic leadership and hands-on execution. The Tech Ops Manager will ensure the organization maintains a secure and efficient toolset, manages hardware logistics, oversees vendors, and upholds rigorous security and compliance standards. This position collaborates closely with Engineering, Security, and Operations teams to support ongoing international expansion.
Key Responsibilities<ul><li>
Workspace &amp; Systems Administration: Manage and optimize the global Google Workspace environment and maintain corporate IT solutions.</li><li>
Device &amp; Fleet Management: Scale and administer Mobile Device Management (MDM) solutions to maintain fleet-wide security, automation, and endpoint compliance.</li><li>
Logistics &amp; Procurement: Oversee vendor relations, software licensing, and hardware procurement, including the configuration and international shipping of equipment to employees.</li><li>
Lifecycle &amp; Identity Management: Lead the IT component of the employee lifecycle, ensuring seamless onboarding, access management, offboarding, and technical support across multiple time zones.</li><li>
Compliance &amp; Security: Maintain comprehensive IT documentation, playbooks, and runbooks to support ongoing SOC 1, SOC 2 Type II, ISO 27001, ISO 22301, and CCSS compliance initiatives.</li><li>
Technical Support &amp; Innovation: Assist international team members with technical issues and support the integration of internal AI tools and Model Context Protocol (MCP) connectors.</li></ul> 

Requirements 
<ul><li>
Experience: 6+ years of dedicated experience in IT Management or internal systems administration.</li><li>
Technical Expertise: Advanced proficiency in Google Admin, Google Workspace security tools, MDM solutions (e.g., Jamf), and endpoint security.</li><li>
Remote Operations: Proven experience managing IT infrastructure and logistics for a distributed, remote-first global workforce.</li><li>
Compliance Standards: Strong knowledge of cybersecurity best practices and direct experience supporting SOC 2, ISO 27001, ISO 22301, or equivalent frameworks.</li><li>
Core Competencies: Pragmatic problem-solving ability balancing operational speed with strict security requirements; entrepreneurial drive to work independently and optimize workflows.</li><li>
Languages: Full fluency in English with excellent written and verbal communication skills; proficiency in French is considered a strong plus.</li><li>
Bonus Points: Exposure to or experience working with internal AI tooling and integrations.</li></ul> 

Benefits 
<ul><li>
Work Environment: 100% remote-first setup within a high-growth, cutting-edge technical domain.</li><li>
Compensation: Competitive compensation package tailored to experience and location.</li><li>
Professional Growth: Opportunity to work alongside industry experts in cryptography and fintech while shaping scalable IT governance.</li></ul>
﻿
Interview Process<ul><li>
Initial Recruiter Screening</li><li>
Introductory Call: 30-minute introductory discussion with the Co-CEO.</li><li>
Cognitive &amp; Behavioral Assessment: A 45-minute online evaluation (via TestGorilla) testing critical thinking, verbal reasoning, detail orientation, numerical reasoning, and problem-solving.</li><li>
Panel Focus Interview: A 90&ndash;120 minute technical and cultural deep dive covering security fundamentals, compliance knowledge, work ethics, and team alignment.</li><li>
Final Stage: Reference verifications and background checks.</li></ul> 
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</div>

Tech Ops Manager

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