Quantitative Risk Modeler at Fidelity Investments

Jersey City, New Jersey, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, Investment ManagementIndustries

Requirements

Masters or equivalent experience in Mathematics, Economics, Statistics, Quantitative Finance, or a similarly quantitative field
5+ years of experience within risk management, market risk analytics or quantitative research
A demonstrated ability to partner with both quantitative and fundamental investors and technologists
Prior work experience in financial modeling (e.g., risk models, analytics) or data science and model deployment to production environment is strongly desired
Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models
Programming skills in Python and database languages
Experience implementing statistical models that apply cross-sectional and time-series econometrics, dimensionality reduction, and optimization techniques
Demonstrated effective communication with both internal and external stakeholders

Responsibilities

Develop the specifications and codebase needed to compute risk analytics not currently supported by the platform (ex-ante risk, VaR, attribution, stress testing, scenario analysis)
Collaborate with quantitative developers to deploy these analytics into production, with focus on optimizing run-time performance, scalability, and robustness of core risk calculators
Conduct research to improve Fidelity’s factor models for liquid alternative (e.g., arbitrage, macro, ARP, managed futures) and illiquid alternative (e.g., private credit, infrastructure, real estate, private equity) asset classes
Collaborate with QRI’s data science researchers to extract insights from alpha research to improve specific risk forecasts
Communicate with portfolio and risk managers across the firm to ensure the platform supports investment decision making
Balance long-term strategic enhancements with tactical enhancements required by the business
Design the specifications and code for core risk capabilities including decompositions of ex-ante risk, stress testing, attribution, and tail risk
Work with database engineers, software, and quantitative developers to deploy new risk analytics into production
Collaborate with investment professionals across Fidelity Asset Management to ensure risk platform enhancements satisfy end-user business requirements
Deliver complex projects with multiple stakeholders

Skills

Quantitative Risk Modeling

VaR

Risk Attribution

Stress Testing

Scenario Analysis

Factor Models

Python

C++

Performance Optimization

Scalability

Asset Management

Portfolio Construction

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

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