Director of quantitative research job description

Who We Are:

At Brooks, we believe a run can change a day, a life, the world. Everyone who works here is a key part of our obsession to make the best running gear on the planet. We want our business - which also happens to be our passion - to be a place where everyone feels welcome and comfortable being themselves. Our company culture defines us, bonds us together, and drives our success. We live this culture daily through our brand values: Runner First, Word is Bond, Champion Heart, There is no “I” in Run, and Keep Moving. This means we always solve for the runner, do what we say we will, give it our all, are generous with our humanity, and find a way to keep moving every day, because joy is kinetic.

Are you ready to help create something extraordinary?

Your Job:

The Run-Sight Lab is the consumer insights team at Brooks. The team applies design thinking and a mixed-method research approach to unlock the key wants and needs of all who run. The Run-Sight Lab works to anticipate future needs of runners, empower internal teams with deep insights and recommendations to create innovative products and strategies, and inform decisions to help the brand adapt to shifts in the market.

As a Runner Insights Quantitative Researcher, you will lead quantitative research design on projects, collect and analyze data, interpret findings, and provide data-driven recommendations to cross-functional teams by amplifying the most meaningful insights from runners. You will collaborate on research projects with Qualitative Researchers and Design Researchers to combine quantitative, qualitative, and design and prototyping methods to develop a greater understanding of runners, their behaviors and motivations, and the ways Brooks can connect with runners to elevate their experiences through evidence and empathy. You will work independently and collaboratively to bring a quantitative perspective to explore big questions, challenge assumptions, guide research direction, and drive innovation at Brooks.
Your Responsibilities:Lead Quantitative Research ProjectsAdvise teammates and internal stakeholders on quantitative research projects by providing guidance on best methodology, participant selection criteria, timelines, etc. that best suit project objectives Manage expectations and educate stakeholders and teammates on key concepts from quantitative research methodology and project findings and recommendations Execute the quantitative portion of Run-Sight Lab research projects by utilizing primary and secondary data to test qualitative insights at scale and/or provide direction on qualitative research, design research, and prototyping Manage the full lifecycle of quantitative research projects, including scoping, methodology, sample design, data collection (e.g., survey design and programming), analysis planning, and reporting/presenting findings and recommendations Make project data accessible to all audiences by providing access to, interpreting, and/or visualizing data in ways that are clear and intuitive Support the Runner Insights Research Program Manager with ad-hoc quantitative research requests from teams throughout the business (e.g., product naming, concept testing, message testing, validation testing, MaxDiff and Conjoint analyses, etc.) Vet and manage potential and existing research vendors Responsible for quantitative research project's timeline, deliverables, and budget Along with other researchers, continuously evaluate new research tools, data sources, and research partners to build a robust and varied “quantitative research toolbox”Collaborate with Runner Insights Qualitative and Design ResearchersWork closely with a cross-functional team to plan and execute mixed-methods research projects from brief development to final presentation and reporting Jointly decide on project scope, timelines, methods, deliverables, and share-outs Incorporate complementary quantitative, qualitative, and design approaches to identify empathy-driven, data-backed, and runner-first insights and opportunities Present research findings and recommendations with project team to internal teams and key external audiences Mentor, Educate, and TrainGuide and mentor Runner Insights Associate Quantitative Researchers and interns Teach and advise on quantitative research concepts and best practices within the team and across the company Lead internal consumer innovation bootcamps and training opportunities that strengthen the brand's ability to act quickly and meaningfully for runners
Qualifications:Bachelor's degree in Analytics, Statistics, Market Research, Quantitative UX Research, Human Factors, Analytics, Engineering, Psychology, Sociology, or other quantitative research-related fields preferred; equivalent education and/or relevant experience will be considered3+ years experience conducting and leading quantitative consumer research projects Experience with managing all parts of survey development (e.g., scoping with stakeholders, establishing eligibility criteria, questionnaire development, survey programming, setting quotas, weighting, etc.) Proficient in Qualtrics platform (and/or other survey platforms), including survey editor, programming, distributions, XM directory, and crosstabs, analysis, and reports Strong analytical skills and experience with statistical significance testing using analysis tools, such as SPSS, SAS, Q Research Software, Displayr, R, or PythonAbility to collect, query, clean, manage, analyze, and sift through different data sources (e.g., survey, market, sales, text, social media, smartwatch biometric data) to identify critical information and develop solution options and actionable recommendations Excellent written and communications skills - skilled presenter (using MS Presentation tools and data visualization tools like Tableau), effective writer, and compelling storyteller with the ability to simplify complex research and data into intuitive and emotional narratives to influence and persuade decision-makers into taking action Proactive and results-oriented with the ability to balance numerous tasks and utilize all available resources with a high sense of urgency and self-motivation Ability to build relationships and work professionally and efficiently within the team, across departments, and with external vendors Experience contributing to qualitative consumer research (e.g., diary studies, in-depth interviews, focus groups, observations, etc.) and iterative prototyping is a bonus Working knowledge of the footwear and apparel product management process, retail environment, and consumer buying habits a plus.An interest in uncovering the needs of all who run and those who enjoy wearing running footwear and apparel
At Brooks, we celebrate diversity & equity. We are committed to creating an inclusive environment, and encourage people of all backgrounds, perspectives, experiences, and skills to apply. Brooks is proud to be an equal employment opportunity employer. All employment decisions are made without regard to race, religion, color, national origin, gender, gender identity, the presence of a sensory, physical or mental disability, medical condition, military status, marital status, pregnancy or child birth, sexual orientation, age, genetic information, status as a victim of domestic violence, sexual assault or stalking, political ideology, or any other non-merit based factors.

Netflix is the world's leading streaming entertainment service for over 210 million households in more than 190 countries, connecting people of all ages with stories they love on any of their favorite devices.

The Product Experience Research team is central in uncovering compelling ways to engage and entertain our global members. This Researcher role supports our core pricing team, which sets and adjusts our pricing strategy around the world to maximize long-term revenue. Specifically, this role will explore themes such as affordability, competition, and perceived value.

This is an opportunity to lead innovative research with a demonstrable impact on a global scale. You will be responsible for defining, leading, analyzing, and socializing research studies that generate insights to empower business decisions across the company. You'll partner with cross-functional teams passionate about delivering the most engaging, innovative, and inclusive experiences.
In this role, you will:

+ Design, execute and socialize research that generates insights to inform our global pricing strategy

+ Synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact

+ Proactively partner with other CI researchers and cross-functional partners, including Product, Data Science, SP&A, Content, Marketing, and Brand, to develop new research initiatives

+ Identify best practices in existing and emerging research methodologies

About you:

+ Experience in product research, market research, and/or analytics, including hands-on experience leading end-to-end quantitative research studies. Some mixed methods research experience is preferred but not required.

+ A balance of creative and analytical skills with the ability to proactively define research questions, identify appropriate methods, execute studies, and synthesize findings

+ Strong communicator with a bias toward action to proactively collaborate with multiple teams across the company

+ Self-starter and problem solver who loves "getting in the weeds" with quantitative data (including survey data, public "big data" repositories, and internal logged data).

+ Experience with data querying, wrangling, and analysis; proficient in SQL and R.

+ Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). Experience with longitudinal analysis, multilevel/mixed effects modeling, and/or survey weighting a plus.

+ Advanced degree in psychology, social sciences, or a related field is preferred but not required

+ Global research experience is preferred but not required

+ Experience or interest in growth and pricing research preferred

FactSet is a financial data and software company headquartered in Norwalk, CT with offices in 48 locations worldwide. As a global provider of financial information and analytics, FactSet helps the world's best investment professionals outperform. More than 170,000 users across 7000+ clients stay ahead of global market trends, access extensive company and industry intelligence, and monitor performance with FactSet's desktop analytics, mobile applications, and comprehensive data feeds. As of February 2022, annual subscription value reached $1.75 billion, and headcount passed 10,500.

As part of FactSet's Analytics & Trading Middle Office Solutions Unit our Risk Quantitative Research and Development team (Risk QRD) is responsible for researching and developing FactSet's in-house factor based multi-asset class (MAC) risk models. That includes linear factor modeling, risk factors multivariate distribution fitting and Monte Carlo simulation, Full-valuation MAC risk modeling, among others. This is a global team that consists of self-motivated, articulate and highly skilled professionals. A unique blend of people with strong quantitative and technical skills.

Our team is the source of both new and existing in-house risk models which means what we build has downstream consequences for many other systems and teams, including but not limited to: software engineering, product development, model validation, strategy, and sales.

The factor models in MC MAC risk model include public equity, private equity, corporates, commodities, inflation-linked, municipals, and mortgages. The models are being constantly improved based on internal research, recent advances in the risk modeling, changing market environments, and the feedback from our clients and the users of the risk model. The factor models are developed in python and then supported by our team.
Responsibilities:
As Lead quantitative researcher on this team, you will be required to:
research and execute on factor risk models pipeline for FDS MAC Risk solution with focus on alternatives, including direct real estate, private equity, hedge funds.ensure high quality risk models through use of extensive model testing and documentationreview the current versions of the models and perform in-depth research aligned with the established market industry standards and the recent trends in both academic and practical studiesprototype and implement in python the respective next generation of the given sub-modelwork closely with marketing and the research director to write, publish, and promote research papers and insight articles transfer knowledge on the respective models to internal and external stakeholdersprovide guidance on model usage and interpretation of results

Being successful on this team is not possible without a willingness to participate and communicate.

Requirements:
Advanced degree in Science, Technology, Engineering or Mathematics (PhD preferred)7+ years of experience in quantitative risk modeling and/or quantitative portfolio management Solid understanding of the risk drivers in the various asset classes.Very strong quantitative research and software development skills using Python, C++, Java or RStrong leadership, communication, and interpersonal skills Detail-oriented with the ability to see the big picture Enthusiasm, strong sense of initiative and projects ownership capacity Willingness to travel for client visits and speaking engagements Agile, action-oriented, quick thinker: you can deliver preliminary results fast by making simplifying assumptions, and take time to dive deeper if our business priorities allow and if the problem demands more scientific rigor

Highly Desired:
Experience in building market risk models for alternative investments Algorithms development, optimizing and scaling up time consuming code Familiarity with Git, Git branching, repository management

We offer:
A place in the team developing our own world-class risk solutions where everyone's contributions to the team and product success are visible and the product, passion and hard work is recognized and valued.

A friendly business casual atmosphere in a workplace that consists of diverse talents and working environment driven by challenges, recognition, and rewards. Nice office location and compensation package as well as flexible working hours and hybrid work model are also included.

Apply today and become part of the successful FactSet Risk Quantitative Research and Development Team!

FactSet is an Equal Opportunity Employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity