About The Role

At its core, the AI Strategy Consultant role centers around driving marketing strategy and transformation in enterprise organizations.

Today, most marketing communications are planned weeks in advance on a calendar based on dates and internal priorities. Each email, push, campaign takes 3-5 people and dozens of steps to create. Our customers come to us looking to transform the way they do marketing: using AI agents to rapidly learn about consumer preferences and deliver highly effective marketing and product experiences to each customer 1:1.

As an AI Strategy Consultant, you are the trusted technical–strategic partner for our AI Decisioning customers. You own the bridge between what the product can do and what the customer’s business needs — from discovery through go‑live and expansion.

You’ll work with as a part of a driven and creative team of ML + product engineers, product designers, and other Strategy Consultants to deploy new use cases with the largest customer-facing brands in the world. Your mission is to uncover the most impactful use cases for our customers, understand the insights that are derived from the decision engine, and recommend to our customers new campaigns or adjustments to achieve greater outcomes.

You’ll immerse yourself in our customer’s marketing organization. You’ll partner with customer teams and explore the data, and plunge into the product landscape to help us scale. The problems you’ll work on require a curious and analytical approach, sharp product intuition, and the ability to use insight to improve decisions.

No two days are the same, but you can expect to:

• Own all phases of AI Decisioning use case delivery working alongside Hightouch engineers, customer executives, marketers, and IT stakeholders
• Run design sessions with customers to decide on and document use case requirements and improvements
• Champion delivery & project management excellence through development of process playbooks and best practices
• Proactively identify, escalate, and mitigate potential project risks
• Build relationships with key stakeholders at Hightouch customers
• Participate in driving the AI Decisioning product strategy

What We're Looking For

• Ability to travel 10 - 25% required
• Experience working with Martech tools/CEMs/CDPs/etc.
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy

Bonus If You Have

• Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL)

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000-$200,000 (80/20 split variable) USD per year.

Come work with us:

Metropolitan Commercial Bank (the “Bank”) is a full-service commercial bank based in New York City. The Bank provides a broad range of business, commercial, and personal banking products and services to individuals, small businesses, private and public middle-market and corporate enterprises and institutions, municipalities, and local government entities.

Metropolitan Commercial Bank was named one of Newsweek’s Best Regional Banks and Credit Unions 2024. The Bank was ranked by Independent Community Bankers of America among the top ten successful loan producers for 2023 by loan category and asset size for commercial banks with more than $1 billion in assets. Kroll affirmed a BBB+ (investment grade) deposit rating on January 25, 2024. For the fourth time, MCB has earned a place in the Piper Sandler Bank Sm-All Stars Class of 2024.

Metropolitan Commercial Bank operates banking centers and private client offices in Manhattan, Boro Park, Brooklyn and Great Neck on Long Island in New York State.

The Bank is a New York State chartered commercial bank, a member of the Federal Reserve System and the Federal Deposit Insurance Corporation, and an equal housing lender. The parent company of Metropolitan Commercial Bank is Metropolitan Bank Holding Corp. (NYSE: MCB).

Position Summary:

The Vice President AI Model Validation with extensive big-bank experience, strong technical expertise, and proven capabilities in model risk management, risk reporting, and large-scale data management, will be responsible for developing, maintaining, and enhancing the Bank’s Model Risk Management framework in compliance with regulatory guidance (e.g., SR 11-7). This individual will be well-versed in regulatory requirements, model governance frameworks, and secure data practices, enabling a more resilient, compliant, and value-added risk management function.  The VP AI Model Validation will oversee the governance, validation, monitoring, and reporting of models used across the Bank—including BSA/AML, Credit, CECL, ALM, Capital planning, Stress testing, liquidity, and other decision-support models.

The ideal candidate will combine strong quantitative skills with practical banking experience, expertise in data quality and visualization, and the ability to clearly communicate technical model risk findings to senior management, regulators, and business stakeholders.  The knowledge and ability to conduct thorough model validations and reviews is a critical responsibility for this position. 

The successful candidate for this role will be a proactive and analytical individual with a solid understanding of risk management principles, excellent communication skills, and the ability to work collaboratively in a dynamic environment. This role reports to the Director of Model Risk & Risk Reporting and will be based in New York City.

We have a flexible work schedule where employees can work from home one day a week.

Essential duties and responsibilities:

Governance and Policy Compliance:

• Support and enhance the Bank’s Model Risk Management policy, procedures, and control framework.
• Maintain a comprehensive model inventory, ensuring accuracy, completeness, and appropriate model tiering.
• Oversee and lead model lifecycle governance, including development, implementation, use, monitoring, and retirement.
• Ensure full compliance with SR 11-7, CECL, and other regulatory guidance.

 Model Validation & Review

• Conduct independent validations of models, including BSA/AML, CECL/ALLL, Credit, ALM, stress testing, market risk, and liquidity models.
• Assess conceptual soundness, input data integrity, methodology, and performance monitoring.
• Challenge assumptions, limitations, and use cases of models, and provide recommendations for remediation.
• Document validation results and present findings to senior management, committees, and regulators.

Data Governance & Reporting

• Design and implement data quality processes to support reliable model inputs and outputs, and data used across MRM reporting.
• Establish controls for data accuracy, completeness, timeliness, and reconciliation across model datasets.
• Develop Power BI dashboards and automated reports to track model performance, issues, and usage.
• Support regulatory and management reporting through clear, visual, and actionable insights.

Monitoring & Issue Management

• Execute ongoing model performance monitoring plans, including back-testing and benchmarking.
• Track and manage model risk issues, findings, and remediation efforts.
• Provide regular reporting on model risk metrics, emerging trends, and validation progress.

Stakeholder Engagement

• Partner with business units, finance, risk, audit, and IT to ensure models meet business and regulatory needs.
• Provide training and guidance to model owners and users on governance and data quality requirements.
• Support Internal Audit and regulatory examinations related to model risk.

 Continuous Improvement:

• Continuously review and enhance risk management processes, tools, and methodologies to adapt to evolving business environments and emerging risks.
• Provide training and guidance to employees on risk management with the best practices and procedures.
• Seek opportunities to leverage technology solutions for improving Enterprise Risk Management practices.
• Other Duties as Assigned

Required knowledge, skills and experience:

• Master’s degree in Finance, Economics, Statistics, Mathematics, Data Science, or related field (PhD or CFA/FRM preferred).
• 8+ years of relevant experience in model risk management, validation, or quantitative risk within a bank or consulting firm.
• Knowledge of banking regulations and regulatory frameworks, including but not limited to Basel III, Dodd-Frank Act, BSA/AML, and consumer protection laws. Knowledge of requirements for banks exceeding the $10 billion asset threshold.
• Experience with CECL, ALM, stress testing, and other regulatory/decision-support models.
• Strong knowledge of data quality frameworks and their application in risk management.
• Knowledge of Federal Reserve, New York State Department of Financial Services and Consumer Financial Protection Bureau rules and regulations.
• Strong analytical skills with the ability to interpret emerging risks and issues, and trends in Key Risk Indicator data in order to escalate any negative trends to senior management.
• Proficiency in statistical/programming tools (Python, R, SAS, SQL, MATLAB).
• Strong skills in Power BI (reporting, dashboards, DAX, data modeling).
• Experience in data governance, lineage, and data quality assessment.
• Detail-oriented and organized, with the ability to manage multiple priorities and deadlines in a fast-paced environment.
• Sound judgment and decision-making skills, with the ability to balance regulatory requirements with business objectives and risk considerations.

Potential Salary: $200,000- $230,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Who We’re Looking For

What We Offer

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $206,000 to $260,000

Company Description:
The Tudor Group of companies is a group of affiliated companies engaged in investment management of client and proprietary assets.  Paul Tudor Jones II formed Tudor Investment Corporation, the first of the Tudor Group companies, in 1980.  The Tudor Group manages assets across fixed income, commodities, currencies, public and private equities, and related derivative instruments.  The investment strategies of the Tudor Group include, among others, discretionary global macro, quantitative global macro, quantitative equity market-neutral, and equity long-short.

Tudor offers summer internships to exceptional undergraduate, graduate and PhD students who are interested in applying their unique skills and backgrounds to the financial markets. Internship opportunities are available across our Revenue and Infrastructure departments (including Macro Trading, Flow of Funds, Software Development, Operations, Corporate Financial Reporting). The internship role availability also spans across the firm’s global offices. There is a minimum commitment of 10 weeks during summer. 

Program Highlights

Tudor’s internship program is structured to provide interns with both a practical hands-on learning experience and exposure to the various functions within a diverse, global macro strategy alternative investment firm. As a Tudor summer intern, you will have a unique opportunity to work at an intersection of investment management, quantitative analysis, and technology, and will work alongside some of the brightest minds in the industry, gaining first-hand knowledge of how a world-class alternative asset management firm operates. You will have the ability to build upon your technical skills and industry knowledge while gaining exposure to the firms’ senior business leaders. You will learn about the firms’ history, structure, culture, and core values; receive instruction from experienced members of the financial services community and attend social and networking events with peers and Tudor professionals.  

 Education and Skill Requirements:

• Bachelors, Masters, or PhD candidate with desire to work in the financial industry – Technical and quantitative majors/areas of focus are highly preferred for the select Revenue roles.
• Prior to the start of your summer internship at Tudor, you must have completed at least two (2) years of undergraduate studies
• A minimum cumulative GPA of 3.5
• Proficient in MS Office Suite (most specifically, Excel)
• Strong problem solving and quantitative skills
• High degree of intellectual curiosity
• Ability to communicate effectively in both verbal and written form
• Well-organized, detail-oriented, and able to focus in a dynamic environment
• Ability to prioritize and manage workload
• Hard-working, diligent, and eager to learn in an intellectual and collaborative environment
• Strong intuition and an ability to quickly learn new concepts in a fast-paced environment
• Personal accountability and strong work ethic
• Technical proficiency in one of more of the following programming languages (C++, Python, R, Java, MATLAB) are highly preferred for the select Revenue roles. 

Salary (for internships based in the U.S.):

Compensation for interns at Tudor has typically ranged from $35 to $55 per hour, with the actual salary dependent on various factors including, but not limited to, a candidate’s education level, work experience and credentials, and/or skill level, geographic location, and other market conditions.

The New York Independent System Operator (NYISO) applies cutting-edge technology to operating a reliable electricity system, managing competitive markets for wholesale electricity, and planning for the Empire State's energy future.  The NYISO’s Market Structures department invites applications for a full-time Senior Market Solutions Engineer to join our team.

The Senior Market Solutions Engineer will lead the electric power system model used by the scheduling and dispatch software. The Senior Market Solutions Engineer will develop and apply a working knowledge of the New York State high voltage transmission system and the network model database software to support the NYISO market and security functions. Additionally, this individual will lead the real-time power system analysis, primarily the EMS software applications and BMS software applications, as well as the development and evolution of the Energy Management Systems (EMS) and Energy Market Systems (BMS). The Senior Market Solutions Engineer will also lead the development and evolution of the Smart-Grid application software. Strong Power Systems or Electrical Engineering with power system software and/or mathematical optimization knowledge is desired for this position.

ESSENTIAL DUTIES and RESPONSIBILITIES

• Lead the evolution of the Smart-Grid applications software.
• Responsible for maintaining EMS and Phasor Data Acquisition and Control systems integration
• Ensure integrity of Smart-Grid application software by development and implementation of Business Owner Quality Assurance procedures.
• Develop and design Smart-Grid application software requirements to support the ISO PMU application functions in coordination with NY Transmission Owners and neighboring control areas.
• Provide Power System Operations Dispatcher support and Operator training for all Smart-Grid applications such as, ePDC, RTDMS (Server and Client), ePDE and Grid-Smarts.
• Develop and Design software and operating procedures to address special market and operating conditions.
• Lead and Coordinate the Energy Market Operation and Grid Operation personals in new Market Design initiative or new Network model projects including the new EMS/BMS platform.
• Work collaboratively across the NYISO organization (Market Structure, Market Operations, Grid Operation, Information Technology, and Market Mitigation & Analysis departments) in the design and implementation of market product enhancements.
• Lead and Coordinate Factory Acceptance or Site Acceptance Testing for new Market Design initiative or new Network Model projects including the new EMS/BMS platform.
• Develop a strategy for regression test for new Market Design initiative or new Network Model projects to ensure the correct market outcomes including the new EMS/BMS platform.
• Provide direction on software evolution of the EMS, BMS applications and Data Engineering Tool.
• Define and lead studies of future market products and technologies by prototyping and simulations, using historical data or other sound technical approaches, to validate the completeness and accuracy of requirements, robustness of the available technology, evaluate the potential market outcomes and consumer impacts, consider potential market behavioral risks and to confirm that all applicable compliance objectives are met by the requirements.
• Provide advanced operations and market solutions for NYISO
• Provide solution and technical leadership in consultation with vendors
• Develop mathematical models for all EMS and BMS projects in the organization
• Provide technical leadership to prepare market enhancements in response to the Stakeholders and Regulators
• Lead testing efforts of Capacity Market Operations including development of resource adequacy models, capacity auction models, capacity expansion models and capacity accreditation models.  
• Support and maintain the PMU applications such as stand-alone visualization software and EMS based Voltage Stability Monitoring (VSM).    
• Provide technical support to Market Monitoring, IT Quality Assurance and Stakeholder Service in replying to Market Participant questions for all aspects of Market Solutions Engineering.     
• Provide technical support to Market Validation team to validate scheduling and pricing outcomes in the markets.   
• Provide implementation support to the product teams by reviewing requirements documents, reviewing design notes from vendors and developing User Acceptance test plans for deployment of enhancements and new features to production.   
• Support external research engagements for the NYISO and actively support research engagements under the direction of Manager, Market Solutions Engineering.

SUPERVISORY RESPONSIBILITIES

None.

EDUCATION

PhD degree in Electrical Engineering or closely related fields (i.e. ​​Operations Research, Economics, other Engineering disciplines) strongly desired.  Master's degree required. Coursework and/or demonstrated exposure to electricity market and grid operations required.

EXPERIENCE

• Five to seven years’ experience in the areas of Electrical Engineering and/or Operations Research with software simulation experience is preferred.
• Experience using computer programs such as Energy Management Systems, Security Constrained Unit Commitment (SCUC) and Real-Time Scheduling (RTS), Grid View, GE-MAPS, PROMOD, Modeling Language for Mathematical Programming like AMPL, MATLAB or GAMS is highly desirable.
• Strong Python programming skills and a working knowledge of shell scripting and Linux command line is required.
• Background in models and databases used in power system analyses, and business experience in electric power systems or wholesale electric markets are desired, or equivalent combination of education, training and experience.

CERTIFICATES, LICENSES, REGISTRATIONS

None required.

ADDITIONAL REQUIREMENTS

Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or government regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, vendors, Market Participants and the general public.

Ability to work with mathematical concepts such as probability and statistical inference and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations.

Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables.

Intermediate competency in Windows operating environment using MS Office applications, database spreadsheets, e-mail and internet programs. Working knowledge of UNIX desired.

PHYSICAL DEMANDS

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

The noise level in the work environment is usually moderate. Contact with staff and public will occur. Travel may be required to attend and/or conduct meetings, conferences and training. This position may require work on nights, weekends or holidays.

At the NYISO, we realize the importance of balancing the availability of remote work with the inherent value of bringing people together to attain success in the areas of maximum collaboration, relationship building and growth, teamwork, innovation and problem solving, as well as professional development and mentoring. In this role, you will be required to work onsite from our Rensselaer, NY location several days per workweek, with the option to work remotely on the remaining days. You will also be expected to respond to all business needs that may require any increase to the regular onsite requirements.

The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs.

All offers of employment will be made contingent upon the successful completion of a drug screening and background check.

The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices.

JOB DESCRIPTION

Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
• Superb analytical and quantitative skills, along with a healthy streak of creativity.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Passion for seeing research through from initial conception to eventual application.
• Curiosity about financial markets
• Strong scientific programming in Python, R or Matlab.
• Empirical, detail-oriented mindset.
• Sense of ownership of his/her work, working well both independently and within a small collaborative team.

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Point72 Asset Management is seeking a Risk Manager specialized in Gas and Power Trading to join our Risk Management & Quantitative Research (RQR) team. 

The RQR team plays a vital role in the firm’s investment process, building a deeply rooted culture of efficient risk management and factful performance attribution. Risk managers will lead research efforts to identify opportunities for improved risk management, investment behavior, and portfolio construction, with the goal of helping the firm deliver superior risk-adjusted performance. The paramount mission of the team is to protect the firm from excessive levels of exposure and ensure that risk-taking is efficient and deliberate.

The Risk Manager will:

• Focus on the risk and activities of all Gas and Power Trading PMs as well as overall such risk across the Global Macro and Cubist Macro businesses. More specifically, this includes:
  • Identifying, capturing, and communicating material risks of the business, including credit, tail risk, liquidity, and convexity.
  • Ensuring that risk-taking at the individual portfolio level and at the firm level is efficient and deliberate, by setting appropriate risk guidelines and limits.
  • Developing and advancing stress testing and VaR frameworks.
  • Developing and maintaining a framework for capital allocation to maximize risk-adjusted returns and profitability at the various business levels and at the firm level.
  • Actively managing the firm’s risk exposures through regular meetings, analysis and insights.
  • Leading research efforts to develop innovative risk management approaches, tools and analytics by leveraging the collective knowledge of the platform. The goal is to enhance the quality of performance and improve the firm’s risk-adjusted return.
  • Enhancing management’s understanding of investment performance by developing intuitive and efficient frameworks for performance attribution and educating all internal constituencies on those frameworks.
• Provide additional support with other risk managers in managing the market risk across the Macro business.
• Manage and mentor Quantitative Analysts on the team.

We seek candidates with:

• Five or more years of experience as a risk manager or a portfolio manager, directly related to US and European power & gas products.
• Solid energy product knowledge and analytical rigor in terms of pricing models, risk sensitivities and the best practice for risk aggregation in a portfolio context
• Detailed understanding of risk management, portfolio construction, and trading.
• High level of proficiency in SQL and quantitative programming (e.g. Python, MATLAB, R); experienced in dealing with large data sets.
• Strong communication skills and prior experience interacting with portfolio managers.
• The ability to manage multiple tasks independently and deadlines in a fast-paced environment.
• Ability to proactively seek new ideas and solution to improve the status quo.
• Ability to work cooperatively with all levels of staff as part of a team.
• Excellent interpersonal skills and “emotional intelligence” – we seek a demonstrated ability to build relationships both internally and externally.
• Strong communication skills – an ability to clearly and concisely articulate complex ideas to senior management and portfolio managers is critical.
• A commitment to the highest ethical standards and to act with professionalism and integrity.

Point72 offers substantial career opportunities:

• We are a workplace where performance and integrity go hand in hand
• We are committed to personal and professional development
• We expect and reward innovation and creativity
• We create opportunities for long-term careers
• We measure success by the merits of the work, its quality and the results obtained

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

The NYISO’s Market Solutions Engineering team invites applications for a full-time Market Solutions Engineer.

The Market Solutions Engineer will support the electric power system model used by the scheduling and dispatch software. This individual will develop and apply a working knowledge of the New York State high voltage transmission system and the network model database software to support the NYISO market and security functions. Additionally, the Market Solutions Engineer will support the real-time power system analysis, primarily the EMS software applications and BMS software applications, the development and evolution of the Energy Management Systems (EMS) and Energy Market Systems (BMS), and the development and evolution of the Smart-Grid application software. Strong Power Systems or Electrical Engineering with power system software and/or mathematical optimization knowledge is desired for this position.

ESSENTIAL DUTIES and RESPONSIBILITIES

• Support and maintain the PMU applications such as stand-alone visualization software and EMS based Voltage Stability Monitoring (VSM).
• Responsible for maintaining EMS and Phasor Data Acquisition and Control systems integration. 
• Ensure integrity of Smart-Grid application software by development and implementation of Business Owner Quality Assurance procedures. 
• Develop and implement PMU application functions in coordination with NY Transmission Owners and neighboring control areas. 
• Provide Power System Operations Dispatcher support and Operator training for all Smart-Grid applications such as, ePDC, RTDMS (Server and Client), ePDE and Grid-Smarts.
• Develop and maintain software and operating procedures to address special market and operating conditions. 
• Work collaboratively with Energy Market Operation and Grid Operation personnel in new Market Design initiative or new Network model projects including the new EMS/BMS platform. 
• Perform the development of the documentation to support new Market Design initiative or new Network Model projects including the new EMS/BMS platform. 
• Perform Factory Acceptance or Site Acceptance Testing for new Market Design initiative or new Network Model projects including the new EMS/BMS platform. 
• Perform regression test for new Market Design initiative or new Network Model projects to ensure the correct market outcomes including the new EMS/BMS platform. 
• Provide direction on modifications to the Unit Commitment program to support the additional market functionality to the Mixed Integer Process (MIP) solution. 
• Provide technical support to Energy Market Operation, Market Validation, Market Monitoring, IT Quality Assurance and Stakeholder Service in replying to Market Participant questions for all aspects of Market Solutions Engineering.
• Support testing efforts of Energy Market Operations including development of Unit Acceptance Test plans for projects affecting the energy market software.  
• Support testing efforts of Capacity Market Operations including development of resource adequacy models, capacity auction models, capacity expansion models and capacity accreditation models.  
• Support and maintain the PMU applications such as stand-alone visualization software and EMS based Voltage Stability Monitoring (VSM).    
• Provide implementation support to the product teams by reviewing requirements documents, reviewing design notes from vendors and developing User Acceptance test plans for deployment of enhancements and new features to production.   
• Support external research engagements for the NYISO and actively support research engagements under the direction of Manager, Market Solutions Engineering.

EDUCATION

Bachelor's degree (BS) in Electrical Engineering or related technical field required; Course studies in power systems, electrical engineering, power system components (generation and transmission equipment, concepts and principles) and mathematical modeling of power system components required; Master’s degree (MS) in Electrical Engineering desired.

EXPERIENCE

Three to five years’ experience in the areas of Electrical Engineering and/or Operations Research with software simulation experience is preferred. Experience using computer programs such as Energy Management Systems, Security Constrained Unit Commitment (SCUC) and Real-Time Scheduling (RTS), Grid View, GE-MAPS, PROMOD, Modeling Language for Mathematical Programming like AMPL, MATLAB or GAMS is highly desirable. Strong Python programming skills and a working knowledge of shell scripting and Linux command line is desirable. Background in models and databases used in power system analyses, and business experience in electric power systems or wholesale electric markets are desired; or equivalent combination of education, training and experience.

CERTIFICATES, LICENSES, REGISTRATIONS

None required.

ADDITIONAL REQUIREMENTS

• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or government regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, vendors, Market Participants and the general public. 
• Ability to work with mathematical concepts such as probability and statistical inference and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. 
• Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables.
• Intermediate competency in Windows operating environment using MS Office applications, database spreadsheets, e-mail and internet programs. Working knowledge of UNIX desired. 

PHYSICAL DEMANDS

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

The noise level in the work environment is usually moderate. Contact with staff and public will occur. Travel may be required to attend and/or conduct meetings, conferences and training. This position may require work on nights, weekends or holidays.

The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs.

The NYISO offers the flexibility to work both in the office and remotely, providing our employees with an enhanced work life balance. While the majority of the responsibilities of this role can be performed remotely, in most cases, employees will have periodic on-site requirements based on business needs. Full remote opportunities may be available in some cases.

All offers of employment will be made contingent upon the successful completion of a drug screening and background check.   

 The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices.

The NYISO’s  Operations department invites applications for a full-time Planning Engineer to join the Demand Forecasting and Analysis team.

The NYISO Demand Forecasting and Analysis team is responsible for predictive modeling and data analytics that span both short-term (from 5-minutes up to one week ahead) and long-term (10 years or more) time horizons, and gives substantial consideration to regional trends in energy efficiency, energy storage, distributed solar photovoltaics, and electrification of the heating and transportation sectors.

The primary responsibility of this position is to develop and maintain analytical and statistical models of residential, commercial, and industrial end-use data in order to produce long term energy and demand forecasts These end-uses include HVAC (heating, ventilation, and air conditioning), lighting, refrigeration, industrial motor end uses, solar photovoltaics, electric vehicles, and energy storage systems.  These models are used for quantifying and forecasting the volume and peak demand of end user consumption (load) across the New York Control Area (NYCA). This position will assist in the monitoring of activities in energy efficiency, Distributed Energy Resources (DER), and public policy programs and coordinate with internal and external stakeholders to update and enhance forecasting and analysis methods as a subject-matter expert.  This position will also assist in the preparation of the annual Load and Capacity Data Report (“Gold Book”) and supporting forecasts and analyses.  

The Planning Engineer is expected to perform the duties below independently with limited direct supervision from DFA management or senior staff. 

ESSENTIAL DUTIES and RESPONSIBILITIES  

• Develop and implement procedures for constructing energy consumption metrics related to HVAC, lighting, refrigeration, and other end uses across all major consumer sectors (e.g., residential, commercial, and industrial).
• Building and assessing statistical, engineering, and analytical models of actual end-use energy under typical and extreme weather conditions across the NYCA.
• Participate in performing and reviewing analytical and statistical end-use system studies from third parties such as NYSERDA, EIA, NREL and others in support of the development of more accurate descriptions of end-use consumption and customer behavior.
• Develop long-term forecasts of demand side DER impacts, which may consist of energy efficiency, solar PV, codes and standards, distributed energy, electric vehicles, energy storage, or other technologies.
• Assist in producing grid electrification impacts by applying knowledge of thermal energy conversion methods to account for transition from fossil-based energy usage to electric energy usage and including the estimated reduction in CO2 emissions due to fossil fuels. 
• Communicate and coordinate with New York equipment owners, e.g., DER aggregators, Transmission Owners, and DER databank representatives (e.g., NYSERDA) to maintain accurate capacity information and representative samples DER performance data. 
• Track and report on the growth of such large loads as data centers and computer chip fabrication facilities in the New York Control Area, including ramp schedules and electric demands.  
• Represent NYISO on industry committees, task forces, or stakeholder groups involving issues related to Transmission District and NYCA level end-use and DER modeling. 
• Participate in preparing and maintaining NYISO technical support documentation. 
• Advise and assist with coordination and preparation of the annual Load and Capacity Data Report.
• Assist with implementation and maintenance of rigorous data quality control processes to ensure the cleanest possible datasets are available with which to validate the analytical DER models and train the load forecast models.
• Assist with the evaluation of new technology, tools, and data sets. Incorporate approved technology, data sets and tools to enhance the forecast model development process. 
• Consult with System and Resource Planning department staff to assess the locational hosting capacity of DER resources represented in network model base cases and associated auxiliary files.
• Collaborate with Demand Forecasting and Analysis data scientists and senior staff in integrating as appropriate long-term trends in technology penetrations and large loads in the short-term demand and energy forecast models. 

Qualifications include:

• A passion for transforming data into actionable information for decision making
• Bachelor’s Degree (BS) in Mathematics, Applied Science and Math, Economics, Data Science, Mechanical Engineering, or related discipline
• Two to three years of related experience in load forecasting, operations research, load research, applied statistics, or mathematics required; or an equivalent combination of education, experience and training
• Experience in analyzing and modeling residential and commercial end-use technologies (e.g. heating, cooling, refrigeration, and residential small/commercial scale solar photovoltaics and storage) is required
• Experience documenting methods and data insights for technical bulletins/papers, proposals and presentations
• Ability to explain complex technical concepts to a non-technical audience
• Ability to query data from SQL databases, large datasets, and files
• Proficiency in Microsoft Excel and working knowledge of VBA
• Proficiency in at least one advanced programming language (e.g., Python, R, MATLAB, SAS); familiarity with SAS and/or Python is a plus

ADDITIONAL REQUIREMENTS 

• Ability to read, analyze and interpret the most complex documents.  Ability to respond effectively to the most sensitive inquiries or complaints.  Ability to write presentations and articles using prescribed techniques or style.  Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups and/or boards of directors. 
• Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory.  Ability to work with concepts such as limits, rings, quadratic and differential equations and proofs of theorems.
• Ability to read, analyze and interpret energy forecasting and statistical concepts and methodologies applicable to NYISO energy and peak demand forecasting activities.
• Intermediate competency in Windows operating environment using MS Office applications, e-mail, and internet programs. 
• Demonstrated ability to extract data sets from internal and external relational databases and data warehouses. Competency in writing software to manipulate and analyze large databases through such applications as SAS, R, or Python.  Advanced competency in use of proprietary forecasting tools such as MetrixND and MetrixLT load analysis and forecasting software. 

PHYSICAL DEMANDS 
While performing the duties of this job, the employee is regularly required to talk and hear.  The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks.  The employee is occasionally required to reach with hands and arms.  The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

WORK ENVIRONMENT 
The noise level in the work environment is usually moderate.  Contact with staff and public will occur.  Travel may be required to attend and/or conduct meetings, conferences, and training. This position may require work on nights, weekends or holidays. 

Please note that this position will be filled at the level (i.e., Associate Engineer, Engineer, or Senior Engineer) appropriate with the candidate’s experience and qualifications.

At the NYISO, we realize the importance of balancing the availability of remote work with the inherent value of bringing people together to attain success in the areas of maximum collaboration, relationship building and growth, teamwork, innovation and problem solving, as well as professional development and mentoring. In this role, you will be required to work onsite from our Rensselaer, NY location several days per workweek, with the option to work remotely on the remaining days. You will also be expected to respond to all business needs that may require any increase to the regular onsite requirements.

The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs.

All offers of employment will be made contingent upon the successful completion of a drug screening and background check.

The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices.

The New York Independent System Operator (NYISO) applies cutting-edge technology to operating a reliable electricity system, managing competitive markets for wholesale electricity, and planning for the Empire State's energy future. The Spark Rotational Program Participant in the Research Engineering group within the Market Structures department is expected to contribute as an Associate Market Solutions Engineer.

The NYISO’s Spark Rotational Program is a two-year, early-career development program designed to grow the next generation of power system and technology professionals through meaningful work, structured learning, and cross-functional exposure. The Spark Rotational Program Participant will be expected to develop and demonstrate technical expertise and strong leadership skills throughout their two year rotational program.

Participants are hired directly into a home department where they build strong technical and professional foundations while contributing to projects that support the reliability of New York’s power grid. Participants will also expand their organizational perspective through learning experiences, job shadowing, and partial rotations across multiple departments.

This individual will support the electric power system model used by the scheduling and dispatch software. Develop and apply a working knowledge of the New York State high voltage transmission system and the network model database software to support the NYISO market and security functions. The Associate Engineer will support the real-time power system analysis, primarily the EMS software applications and BMS software application, as well as the development and evolution of the Energy Management Systems (EMS) and Energy Market Systems (BMS) and the development and evolution of the Smart-Grid application software. Strong Power Systems or Electrical Engineering with power system software and/or mathematical optimization knowledge is desired for this position.

ESSENTIAL DUTIES and RESPONSIBILITIES MAY INCLUDE:

• Support and maintain the PMU applications such as stand-alone visualization software and EMS based Voltage Stability Monitoring (VSM).
• Support the maintenance of EMS and Phasor Data Acquisition and Control systems integration
• Support the integrity of Smart-Grid application software by development and implementation of Business Owner Quality Assurance procedures.
• Support the testing of PMU application functions in coordination with NY Transmission Owners and neighboring control areas.
• Provide Power System Operations Dispatcher support for all Smart-Grid applications such as, ePDC, RTDMS (Server and Client), ePDE and Grid-Smarts.
• Develop and maintain software and operating procedures to address special market and operating conditions under the guidance of the manager or senior members of the team.
• Work collaboratively with Energy Market Operation and Grid Operation personnel in new Market Design initiative or new Network model projects including the new EMS/BMS platform.
• Perform the development of the documentation to support new Market Design initiative or new Network Model projects including the new EMS/BMS platform.
• Perform Factory Acceptance or Site Acceptance Testing for new Market Design initiative or new Network Model projects including the new EMS/BMS platform.
• Perform regression test for new Market Design initiative or new Network Model projects to ensure the correct market outcomes including the new EMS/BMS platform.
• Implement modifications to the Unit Commitment program to support the additional market functionality to the Mixed Integer Process (MIP) solution under the guidance of manager or senior members in the team.
• Provide technical support to Energy Market Operation, Market Validation, Market Monitoring, IT Quality Assurance and Stakeholder Service in replying to Market Participant questions for all aspects of Market Solutions Engineering.
• Support testing efforts of Energy Market Operations including development of Unit Acceptance Test plans for projects affecting the energy market software     
• Support testing efforts of Capacity Market Operations including development of resource adequacy models, capacity auction models, capacity expansion models and capacity accreditation models.  
• Support and maintain the PMU applications such as stand-alone visualization software and EMS based Voltage Stability Monitoring (VSM).    
• Provide implementation support to the product teams by reviewing requirements documents, reviewing design notes from vendors and developing User Acceptance test plans for deployment of enhancements and new features to production.   
• Support external research engagements for the NYISO and actively support research engagements under the direction of Manager, Market Solutions Engineering.

QUALIFICATIONS:

• Bachelor's degree (BS) in Electrical Engineering or related technical field required; Course studies in power systems, electrical engineering, power system components (generation and transmission equipment, concepts and principles) and mathematical modeling of power system components required; Master’s degree (MS) in Electrical Engineering desired.
• Experience in the areas of Electrical Engineering and/or Operations Research with software simulation experience is preferred.
• Experience using computer programs such as Energy Management Systems, Security Constrained Unit Commitment (SCUC) and Real-Time Scheduling (RTS), Grid View, GE-MAPS, PROMOD, Modeling Language for Mathematical Programming like AMPL, MATLAB or GAMS is highly desirable.
• Strong Python programming skills and a working knowledge of shell scripting and Linux command line is desirable.
• Background in models and databases used in power system analyses, and business experience in electric power systems or wholesale electric markets are desired.
• Ability to demonstrate an analytical approach to problem solving
• Strong team and interpersonal skills with the ability to work cross functionally
• Excellent communication skills and ability to clearly articulate technical problems and solutions

ADDITIONAL REQUIREMENTS

• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or government regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, vendors, Market Participants and the general public.
• Ability to work with mathematical concepts such as probability and statistical inference and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations.
• Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables.
• Intermediate competency in Windows operating environment using MS Office applications, database spreadsheets, e-mail and internet programs. Working knowledge of UNIX desired.

WORK ENVIRONMENT

The noise level in the work environment is usually moderate. Contact with staff and public will occur. Travel may be required to attend and/or conduct meetings, conferences and training. This position may require work on nights, weekends or holidays.

PHYSICAL DEMANDS

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand, walk, sit and use hands to perform routine office tasks. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Please note that the position will be filled at the level (Associate Market Solutions Engineer or Market Solutions Engineer) appropriate with the candidate's experience and qualifications. 

At the NYISO, we realize the importance of balancing the availability of remote work with the inherent value of bringing people together to attain success in the areas of maximum collaboration, relationship building and growth, teamwork, innovation and problem solving, as well as professional development and mentoring. In this role, you will be required to work onsite from our Rensselaer, NY location several days per workweek, with the option to work remotely on the remaining days. You will also be expected to respond to all business needs that may require any increase to the regular onsite requirements.

The NYISO takes pride in recruiting, developing and retaining highly talented individuals. In addition to competitive salaries, we offer a comprehensive benefits package and innovative reward programs.

All offers of employment will be made contingent upon the successful completion of a drug screening and background check.

The NYISO is an Equal Opportunity Employer and as such, does not discriminate in its hiring or employment practices.

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab)

Education: PhD in Math, Science, Engineering and other relevant disciplines

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists.

PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential.

This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. 

Why join us? 

PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. 

Responsibilities:

• Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
• Contribute to the long-term success of our research-driven algorithmic trading business

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people

• Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
• Research intuition
• Experience in programming (Python, R, Matlab, C++)
• Excellent communication and collaborative white board skills
• Meticulous and detail-oriented, and innately driven to understand issues deeply
• Experience with/interested in working with large data sets
• Self-motivated and highly-productive, with a strong sense of ownership and urgency
• Able to work collaboratively and productively with others
• Enjoy solving complex, difficult, real-world problems
• Entrepreneurial and creative  
• Finance knowledge is not required or expected
• PhD preferred 
• Undergraduate or Masters degree with equivalent industry experience in machine learning 
  • 2+ years of applied machine learning research experience
• Strong publication record
• Experience with the Python scientific stack

The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

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