Quant Developer

Social Leverage LLC; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and equity grants

Fully paid health, vision and dental insurances

401k

Monthly allowance for fitness & mental health

Flexible (Unlimited) paid time off

Daily in-office lunch and dinner

Job summary

Social Leverage LLC is seeking a Quantitative Developer in New York, NY, or San Francisco, CA. The role involves designing and optimizing algorithms for trading systems, as well as collaborating with various teams for software development.

Ideal candidates will have an advanced degree in a quantitative field and strong programming skills. Competitive salary and comprehensive benefits, including full health insurance and unlimited paid time off, are offered.

Qualifications

• Strong analytical mindset with intellectual curiosity in investment management.
• Investment/finance knowledge (experience with Cash Equities is a plus).
• Strong problem solving skills and attention to details.

Responsibilities

• Design, implement, and optimize algorithms for trading systems.
• Shape automated trading execution and performance reporting systems.
• Tackle challenges in ingesting and processing financial datasets.
• Collaborate with teams for the development of systemic trading systems.

Skills

Collaboration

Data Pipeline

Financial Modeling

GraphQL

Node.Js

Object-Oriented Programming (OOP)

Performance Reporting

Portfolio Optimization

Problem Solving

Redis

Education

Advanced degree in a quantitative field (Engineering, Computer Science, Applied Mathematics, Physics)

Tools

TypeScript/Node

Python

PostgreSQL

AWS

Job description

We created Frec to expand the possibilities for everyone and their money. We’re a tight team of builders, creators, and designers who want to be smarter with our money for our futures and our families. As a quantitative developer at Frec, you’ll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are accountability, humility, compassion, and teamwork. If this resonates with you, join us at this pivotal time to help shape our structures, systems, and Frec’s future.

Frec highly values product ideas and feedback from all employees, in a true bottoms-up fashion. This means as a quantitative developer, you will work with a growing team comprised of quantitative researchers, software engineers, product managers, designers, and brokerage operations professionals to ideate, prioritize, prototype, develop, test, and iterate on software that will educate and equip people with newer and smarter ways to build wealth. We’re looking for engineers who have an unrelenting sense of urgency and capability to move fast, have a strong sense of ownership, ability to deal with ambiguity and are enthusiastic about tackling new challenges to help us build a world-class financial platform.

What you will do:

• Quantitative Engineering & Algorithm Development: You will live at the intersection of mathematics, finance, and software engineering. You will own the design, implementation, and optimization of the core algorithms driving our long only and long-short direct indexing engines. You take pride in translating complex investment models into highly accurate, performant, scalable, and stable production code.
• Trading Infrastructure & Optimization: You will help shape our automated trading execution, portfolio optimization, and performance reporting systems. You care deeply about performance and stability, continuously optimizing algorithms to reduce latency and transaction costs, ensuring every line of code contributes to a trading platform that’s resilient in the face of market volatility and straightforward to operate.
• Data Pipelines & Financial Modeling: You’ll tackle complex challenges around ingesting and processing massive financial datasets, including market data, execution data, tax lots, corporate actions, and risk models. This includes building mechanisms for reliable financial data handling, ensuring our models evaluate accurately under dynamic market conditions.
• Collaboration: You’ll partner closely with quantitative researchers, backend engineers, as well as product, design, and operations teams, to ensure we build systematic trading systems that are mathematically accurate, technically strong, operationally sound, and seamlessly integrate into high-quality product experiences.

What we offer:

• Competitive salary and equity grants
• Fully paid health, vision and dental insurances
• 401k
• Monthly allowance to help with maintaining a healthy body and mind (fitness & mental health components)
• Flexible (Unlimited) paid time off
• Daily in-office lunch and dinner
• Office in San Francisco/New York for in-person collaboration (close to public transit options)

Requirements:

• Advanced degree in a quantitative field such as Engineering, Computer Science, Applied Mathematics, Physics.
• Strong analytical mindset with intellectual curiosity in investment management
• Investment/finance knowledge (experience with Cash Equities is a plus)
• Strong problem solving skills and attention to details, and ability to explain the ideas that underlie them
• Strong programming background in an object oriented language.
• A self-starter who embraces ownership and accountability, should have the ability to work independently as well as thrive in a team environment
• TypeScript/Node, Python as the main components of the backend
• PostgreSQL as our data store, with Redis for caching and distributed coordination
• Distributed worker systems powering asynchronous and high-throughput tasks
• Deployed on AWS using containerized infrastructure
• GraphQL as the mode of building and exposing APIs

Contact

If all of the above resonates with you, reach out to us at [e-mail] and join us for the ride!

Location: New York, NY, USA; San Francisco, CA, USA

Work Mode: On-site

Seniority: Associate

Function: Software Engineering

Company Size: 11-50 employees

Skills: Collaboration, Data Pipeline, Financial Modeling, GraphQL, Node.Js, Object-Oriented Programming (OOP), Performance Reporting, Portfolio Optimization, Problem Solving, Redis