热门公司

招聘

职位xAI

Finance Expert - Portfolio Management

xAI

Finance Expert - Portfolio Management

xAI

Remote

·

Remote

·

Full-time

·

2mo ago

薪酬

$93,600 - $93,600

福利待遇

Learning

Healthcare

Unlimited Pto

必备技能

TensorFlow

Airflow

SQL

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

We are seeking an accomplished Portfolio Manager to enhance xAI’s AI models by providing institutional-grade investment expertise into our model training and validation processes. In this role, you will apply your deep knowledge of equity and fixed income valuation, portfolio construction across liquid and alternative investments, risk management, derivatives-based hedging, and performance attribution to guide the development of AI systems that serve sophisticated investment professionals. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world portfolio management dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities

  • Utilize proprietary software to provide accurate input and labels for buy-side finance projects, ensuring high-quality data for AI model training.

  • Deliver curated, high-quality data for scenarios involving portfolio construction, asset allocation, security selection, risk management, performance attribution, and investment decision-making across equity, fixed income, and multi-asset strategies.

  • Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

  • Assist in designing and improving efficient annotation tools tailored for portfolio management data.

  • Select and analyze complex problems in portfolio management aligned with your expertise to enhance AI model performance.

  • Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Required Qualifications

  • Professional experience in portfolio management or related fields (e.g., portfolio manager, buy-side analyst, investment strategist, risk manager, or quantitative researcher at an asset manager, pension fund, endowment, or hedge fund).

  • Proficiency in reading and writing informal and professional English.

  • Strong communication, interpersonal, analytical, and organizational skills.

  • Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

  • Passion for technological advancements and innovation in portfolio management finance.

Preferred Qualifications

  • Relevant certification or advanced training (e.g., CFA, CAIA, or similar finance-related certification).

  • Experience mentoring or training others in portfolio management or investment practices.

  • Comfort with recording audio or video sessions for data collection.

  • Familiarity with AI or data annotation workflows in a technical setting.

Location & Other Expectations

  • Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

  • For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

  • Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

  • For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

  • We are unable to provide visa sponsorship.

  • For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

*xAI is an equal opportunity employer. For details on data processing, view our *Recruitment Privacy Notice.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于xAI

xAI

xAI

Series B

X.AI Corp., doing business as xAI, is an American company working in the area of artificial intelligence (AI), social media and technology that is a wholly owned subsidiary of American aerospace company SpaceX.

201-500

员工数

Austin

总部位置

$50B

企业估值

评价

2.7

2条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

1.5

职业发展

2.0

管理层

1.5

15%

推荐给朋友

缺点

Product instability (Grok)

Leadership shakeup and instability

High employee turnover

薪资范围

4个数据点

Junior/L3

Intern

Junior/L3 · Information Technologist (IT)

0份报告

$193,965

年薪总额

基本工资

-

股票

-

奖金

-

$164,870

$223,060

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

20%

体验

正面 20%

中性 60%

负面 20%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Online Assessment

5

Onsite/Virtual Interviews

6

Final Round

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

AI/ML Concepts