Lead Quantitative Researcher – Alternatives Risk

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in New York, NY
Remote
200K-260K Annually
Senior level
Big Data • Software
The Role
Lead the development of factor risk models for alternatives in the FDS MAC Risk solution, ensuring model quality through rigorous testing and documentation. Conduct research to align models with industry standards, prototype implementations in Python, and provide guidance on model utilization to stakeholders. Collaborate with teams for writing and promoting research outputs.
Summary Generated by Built In

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 private credit, direct real estate, private equity, hedge funds.

  • ensure high quality risk models through use of extensive model testing and documentation

  • review 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 studies

  • prototype and implement in python the respective next generation of the given sub-model

  • work 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 stakeholders

  • provide guidance on model usage and interpretation of results

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

Requirements:

  • Masters in Financial Engineering, Math, Computer Science or closely related field

  • 7+ years of experience in quantitative risk modeling and/or quantitative portfolio management working at an asset manager, hedge fund or similar software provider

  • Solid understanding of the risk drivers in the various asset classes.

  • Very strong quantitative research and software development skills using Python, C++, Java or R

  • Strong 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!

The budgeted amount range for this position in New York City is $200,000 - $260,000

FactSet is a financial data and software company headquartered in Norwalk, CT, with offices in 48 locations worldwide. As a global financial information and analytics provider, 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 August 2023, the annual subscription value reached $2.2 billion.

What’s In It For You:

  • Flexible work accommodations. Choose to work remotely, in person, or in a hybrid set-up

  • The opportunity to join a growing firm with a proven track record of success for over 40 years, made up of thoughtful, innovative minds that value collaboration and welcome your new ideas to the table

  • Mentorship and growth opportunities from senior employees

  • Career progression planning and a focus on career development, complete with dedicated time each month for conference attendance, online learning seminars, and networking

  • A robust social community dedicated to volunteerism, intramural sports, and team-building events

  • Business resource groups that align with our DE&I strategy, designed to cultivate an inclusive environment for all

Learn more about our benefits here.

Returning from a break?

We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.

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

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify

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

Top Skills

C++
Java
Python
R
The Company
HQ: Norwalk, CT
10,310 Employees
On-site Workplace
Year Founded: 1978

What We Do

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions.

For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year.

As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.

Similar Jobs

Babylist Logo Babylist

Staff Analytics Engineer

eCommerce • Healthtech • Kids + Family • Retail • Social Media
Easy Apply
Remote
Hybrid
United States
300 Employees

LeafLink Logo LeafLink

Senior Data Analyst

Cannabis • eCommerce • Enterprise Web • Logistics • Payments • Software • Database
Easy Apply
Remote
USA
190 Employees
100K-130K Annually

Applied Systems Logo Applied Systems

Data Migration Engineer

Cloud • Insurance • Payments • Software • App development • Big Data Analytics
Remote
United States
2857 Employees

General Motors Logo General Motors

People Analytics Solutions Consultant (Visier)

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote
Hybrid
2 Locations
165000 Employees
95K-151K Annually

Similar Companies Hiring

Stepful Thumbnail
Software • Healthtech • Edtech • Artificial Intelligence
New York, New York
60 Employees
HERE Technologies Thumbnail
Software • Logistics • Internet of Things • Information Technology • Computer Vision • Automotive • Artificial Intelligence
Amsterdam, NL
6000 Employees
True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account