Principal, Internal Audit, Financial Risk and Modeling

This role will provide subject matter expertise and strong execution skills to the Internal Audit, Financial Risk and Modeling Audit Team, executing multiple concurrent projects such as model risk assessments, model validation monitoring, and detailed model testing supporting internal audits and validations.

The Principal will:

  • Support the implementation of strategic plans and advise on the Internal Audit procedures and guidelines.
  • Assess and opine on OCC’s implementation and maintenance of its financial risk management framework, confirming alignment with organizational objectives and regulatory requirements.
  • Coordinate the risk assessment activities with the Quantitative Risk Management (first-line) and Model Risk Management (second-line) teams.
  • Develop and execute assessments related to OCC’s Prefunded Resources (e.g., margin requirements, clearing fund contributions, stress testing of resource sufficiency, and liquidity risk monitoring).
    • Provide technical expertise and guidance to the IA team in executing their responsibilities.
    • Confirm proper scope and resource allocation to deliver on schedule.
    • Leverage advanced mathematical and statistical modeling and analysis techniques to assess model design and performance (e.g., model methodologies, assumptions, parameter calibration, input data quality, and model outputs).
    • Maintain the Internal Audit quality standards across all deliverables and collaborate with stakeholders to ensure that financial and operational risks are effectively identified, assessed, and managed.

Responsibilities

Responsibilities will be aligned, but not limited, to four pillars:

Department Oversight

  • Support and maintain IA infrastructure (Policies, Procedures, Standards, Guidance, Audit Universe, Risk Assessments, Co-Sourcing Management, Service Quality, Regulatory Management and Stakeholder Management) in alignment with Regulators, IIA Standards and OCC’s designation requirements.
  • Contribute to the development of annual budget recommendations supporting the risk-based audit plan.
  • Coordinate with the Operations team and Co-Source relationship to manage staffing needs for plan execution.

Leadership

  • Support the design and implementation of strategic initiatives related to audit programs/processes, technology, or other initiatives related to assurance and consultative services for Financial and Model Risk.
  • Plan, execute, and report on risk-based and special request audit assignments.
  • Identify regulatory, operational, and/or strategic risks to the organization and develop recommendations for improvements.
  • Build and maintain effective relationships with business groups and management.

Delivery

  • Contribute to the development of risk assessment and comprehensive audit plan.
  • Manage multiple audits and validations simultaneously.
  • Execute audit projects in accordance with the annual audit plan.
  • Confirm audit quality, accuracy of results, and timely delivery.

Quality

  • Apply professional principles and standards (e.g., AICPA, IIA GIA, COSO, SR 11-7) in risk management activities and control evaluations.
  • Maintain knowledge of policies, procedures, standards, and supporting technologies in risk identification and mitigation.
  • Stay informed of industry practices, model methodologies, and emerging risks within financial services and propose improvement recommendations.
  • Participate in department-wide activities such as peer reviews of audit deliverables.

Supervisory Responsibilities

  • None

Qualifications

  • Strong verbal and written communication skills with the ability to effectively convey complex information to various stakeholders.
  • Proven analytical and critical thinking abilities to address business challenges.
  • Ability to develop and present comprehensive reports and recommendations based on data analysis.
  • Demonstrated capability to manage multiple projects while meeting deadlines.
  • Ability to manage the assessment of quantitative models approaches and tools.
  • Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

Technical Skills

  • [Required] Proficiency in Microsoft Office applications.
  • [Required] Strong proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software.
  • [Preferred] Seasoned expertise on understanding and managing financial risks related to financial derivatives portfolios, particularly options on equities.
  • [Preferred] Experience in evaluating the pricing of complex derivatives and performing advanced statistical analysis on underlying risk factors.
  • [Preferred] Experience with reviewing and auditing risk management models for derivatives using methodologies such as Historical VaR, Monte Carlo simulation, TIMS and SPAN.
  • [Preferred] Proficiency in quantitative or statistical tools (e.g., Python, R, MATLAB, SAS) to support model audit and testing procedures.
  • [Preferred] Familiarity with model risk management practices including validation, backtesting, and performance monitoring.

Education And/or Experience

  • Minimum of 8 years working in a dynamic business environment
  • Proven track record of implementing and overseeing operational processes and procedures.
  • Experience in developing and maintaining professional relationships with internal and external stakeholders.
  • [Preferred] Industry-specific experience in relevant field (e.g., Financial Services, Technology, or related sectors)
  • [Required] Experience in financial risk model analysis or assessments and stress testing methodology.
  • [Preferred] Master’s degree in finance, economics or a quantitative field possessing strong quantitative, analytical, and problem-solving skills.
  • [Preferred] Experience with assessments or audits of Financial Risk Management or Models.

Certificates or Licenses

  • Certification such as Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.

About Us

The Options Clearing Corporation (OCC) is the world’s largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

$178,000.00 – $284,100.00

Incentive Range

23% to 30%

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Investment Analyst

Become Part of the Magnitude Team 

Magnitude Capital, a dynamic alternative investment firm, is seeking an investment analyst with hedge fund or similar experience to work as part of our tight-knit fund of hedge funds investment team. The ideal candidate will be an eager student of financial markets and investment decision making and will be proficient in data analysis and quantitative methods. This is an exceptional opportunity for you to further your career while working with industry veterans and contributing to investment decisions at the firm.

What you will do:

  • Support core investment team in complex portfolio decision-making. Engage with peers through effective written evaluations and frequent group discussions.
  • Leverage rigorous analytical techniques to assess hedge fund managers’ potential to generate diversifying risk-adjusted returns.
  • Conduct strategy and market research to evaluate hedge fund managers’ strategies and relevant risk factors.
  • Maintain and expand the analytical framework that drives portfolio management decisions.
  • Partner with the firm’s technologists to build and maintain processes that capture, organize, and evaluate risk and performance data for the portfolio and the industry.

What you have:

  • 2+ years of financial experience; front-office role at a hedge fund or proprietary trading firm preferred
  • Familiarity with relative value hedge fund strategies
  • Advanced quantitative and data analysis skills
  • Familiarity with Python, R, or other statistical programming techniques
  • Collaborative mindset and firm-first mentality
  • Strong written and verbal communication skills
  • High attention to detail
  • Excellent analytical skills
  • Proven track record of academic excellence
  • CFA, MFE, CQF or similar advanced education a plus

What we do:

The firm was founded in 2002 by senior hedge fund professionals and has become a top industry performer serving a diverse and growing institutional client base.  We are a team focused on building a world-class investment company through discipline, analytical rigor, and a results-oriented mindset.

What we offer:

  • Competitive total compensation
  • Benefits package – fully covered health insurance, generous 401K match, fertility services reimbursement program, tuition reimbursement program, parental leave, and more
  • Hybrid work schedule – Tuesday-Thursday in the office each week
  • Work that matters – work with a small team and have a big impact
  • Flexible work attire – no formal dress code
  • Quality food – catered meals from some of the best restaurants in NYC and fully stocked kitchen
  • Great teammates – people with discipline, creativity, intellectual curiosity, and a sense of humor
  • Exciting culture – analytical, open, collaborative, and collegial

Compensation:

The budgeted *salary* range starts at $130,000–$160,000. Total compensation will include salary, performance-based bonus, and full benefits. Total package will be commensurate with qualifications and experience and will be highly competitive relative to market. Actual pay will be adjusted based on experience.

Magnitude Capital, LLC is an equal opportunity employer. We are committed to fair hiring and promotion practices, and employee diversity will only benefit our team-based approach. We welcome exceptional candidates from all backgrounds to apply to Magnitude’s open positions.

Quantitative Analyst – Futuregrowth

This is an analytical role with specific focus on macroeconomic and policy developments and their implications for the local interest rate market. Reports to the Head of Interest Rates. This position is based in Rondebosch, Cape Town.

FIN Global Middle Office ED

Valuations Control at Nomura is primarily responsible for understanding, reviewing and testing the marks and valuation adjustments used to value trading positions. The main functional responsibilities include frequent IPV; ensuring that the appropriate accounting principles and reserves are applied to reach fair value; calculation of Prudential Valuation capital adjustment; development and application of rules for fair value hierarchy classification; partnering with the Front Office and other support groups in facilitating and approving new products and initiatives, in particular determining reserving and revenue recognition approaches. This involves a close working relationship with the Front Office as well as all primary support partners including Market, Credit and Model Risk Management, Quants, Operations, other Finance teams and Legal.

Market Risk + Counterparty Credit Risk Management – Practice Leader

We are seeking a seasoned Traded Risk Practice Leader to drive growth, delivery excellence, and capability development across Market Risk and Counterparty Credit Risk (CCR) domains. The role blends domain leadership with business growth responsibilities which include shaping strategy, strengthening client relationships and expanding the firm’s Traded Risk franchise across global financial institutions.

Senior Principal Quantitative Analyst_

The Senior Principal Quantitative Analyst plays a critical role in ensuring the accuracy, integrity, and reliability of quantitative data that powers Morningstar’s financial models, analytics, and decision-making processes.

This role is a cornerstone of the Managed Investment Data (MID) program, which collects, standardizes, and enriches global fund data—supporting investors, advisors, and institutions through trusted data and insight.

The analyst will lead quantitative data quality design and implementation, develop AI/ML-based validation frameworks, and collaborate with cross-functional teams to strengthen data governance and model readiness.

This role reports to the Director, Quality & Transformation within the Managed Investment Data team based in Mumbai.

Job Responsibilities

  • Lead the design, implementation, and enhancement of quantitative data quality frameworks, encompassing statistical validation and anomaly detection.
  • Develop AI/ML-driven predictive quality checks, enabling proactive data error prevention and model trustworthiness.
  • Apply advanced statistical methodologies — linear/non-linear modeling, time series analysis, and Bayesian inference — to detect quality drifts and signal inconsistencies.
  • Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for quantitative models and investment algorithms.
  • Create automated, scalable, and auditable data validation pipelines, supporting real-time data monitoring and exception reporting.
  • Partner with stakeholders to uphold data governance, privacy, and regulatory compliance standards (MiFID, ESMA, SEC).
  • Mentor and guide junior analysts, fostering a culture of excellence, continuous learning, and innovation in quantitative analysis.
  • Communicate complex data quality insights and statistical findings in simple terms to senior leadership and non-technical stakeholders.
  • Drive innovation through automation, reproducible modeling pipelines, and deployment of ML-based data correction systems.
  • Contribute to the modernization of Morningstar’s data architecture by integrating data observability, telemetry, and metadata-driven quality measures.

Requirements

  • Strong foundation in quantitative finance, econometrics, and applied statistics.
  • Deep understanding of financial instruments, fund structures, and performance modeling.
  • Proven ability to work with large-scale, structured and unstructured data.
  • Excellent analytical, problem-solving, and statistical reasoning skills.
  • Strong stakeholder management, communication, and presentation skills.
  • Ability to work in a cross-functional, fast-paced environment, and lead through influence.

Desired Candidate Profile

  • Master’s degree in Statistics, Mathematics, Financial Engineering, Data Science, or Quantitative Finance.
  • Professional certifications such as CFA, FRM, CQF, or Six Sigma Black Belt preferred.
  • 10+ years of experience in quantitative analytics, model validation, or data quality engineering within financial services, asset management, or fintech.
  • Expertise in Python, R, SQL, and familiarity with tools such as MATLAB, SAS, or TensorFlow.
  • Experience in AWS ecosystem (S3, RDS, Glue, Athena) and modern data quality platforms.
  • Hands-on experience with AI/ML frameworks (scikit-learn, PyTorch, TensorFlow) for anomaly detection and predictive data correction.
  • Familiarity with data governance and regulatory standards (GDPR, SEC, ESMA, MiFID).
  • Proficiency in Lean, Agile, and automation-first approaches for process improvement.
  • Entrepreneurial mindset with a passion for innovation and scalability.
  • Strong leadership, mentorship, and collaboration abilities.
  • Flexible to adapt to evolving data and technology landscapes.

Key Competencies

  • Statistical Expertise: Deep proficiency in hypothesis testing, regression modeling, and time-series forecasting.
  • AI/ML Integration: Building and deploying predictive quality and anomaly detection models.
  • Automation Mindset: Experience with data pipelines, ETL automation, and observability frameworks.
  • Data Governance: Comprehensive understanding of metadata management, lineage, and auditability.
  • Business Acumen: Translating technical insights into actionable business intelligence.
  • Leadership: Guiding teams through analytical rigor, innovation, and continuous improvement.

Market Risk Analyst (f/m/d), Axpo Solutions

As a Market Risk Analyst at Axpo Solutions AG, you will play a key role in enhancing our risk analytics and market intelligence framework. You will collaborate with various teams to ensure effective risk assessment and reporting, contributing to our commitment to excellence in risk management.

What you will do:

  • Further develop the company’s framework of risk analytics (market and liquidity risk) and market intelligence.
  • Develop and maintain models and reports for risk assessment and P&L and risk reporting using tools like PowerBI, Dataiku, Power Apps, and Python.
  • Analyze trading/origination portfolios regarding their risk profile and engage in discussions with front units, management, and other risk teams.
  • Conduct in-depth analysis of selected topics at the request of senior management and audit teams.

What you bring & who you are:

  • University degree in finance/economics or related fields with a strong quantitative/mathematical background.
  • Further professional qualifications such as CFA, FRM, or CQF are advantageous.
  • Solid knowledge of applied statistical and financial methods, financial instruments, and their valuation.
  • Experience in financial risk management, particularly in the energy/commodity sector.
  • Strong proficiency in Python, PowerBI, and SQL; familiarity with Dataiku, Power Apps and Power Automate is a plus.
  • Proven experience in defining requirements and building P&L and market risk analytics solutions
  • Excellent communication skills and experience in interacting with trading environments.

About the team:

The Market Risk team at Axpo Solutions AG is dedicated to enhancing the company’s risk management framework. Collaborating closely with various departments, the team ensures comprehensive risk assessment and reporting. A supportive environment fosters professional growth and encourages innovative approaches to risk analytics.

Credit Risk – Manager – Bangalore – PWC

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

Principal, Internal Audit, Financial Risk and Modeling_

This role will provide subject matter expertise and strong execution skills to the Internal Audit, Financial Risk and Modeling Audit Team, executing multiple concurrent projects such as model risk assessments, model validation monitoring, and detailed model testing supporting internal audits and validations.

The Principal will:

  • Support the implementation of strategic plans and advise on the Internal Audit procedures and guidelines.
  • Assess and opine on OCC’s implementation and maintenance of its financial risk management framework, confirming alignment with organizational objectives and regulatory requirements.
  • Coordinate the risk assessment activities with the Quantitative Risk Management (first-line) and Model Risk Management (second-line) teams.
  • Develop and execute assessments related to OCC’s Prefunded Resources (e.g., margin requirements, clearing fund contributions, stress testing of resource sufficiency, and liquidity risk monitoring).
    • Provide technical expertise and guidance to the IA team in executing their responsibilities.
    • Confirm proper scope and resource allocation to deliver on schedule.
    • Leverage advanced mathematical and statistical modeling and analysis techniques to assess model design and performance (e.g., model methodologies, assumptions, parameter calibration, input data quality, and model outputs).
    • Maintain the Internal Audit quality standards across all deliverables and collaborate with stakeholders to ensure that financial and operational risks are effectively identified, assessed, and managed.

Responsibilities

Responsibilities will be aligned, but not limited, to four pillars:

 

Department Oversight

  • Support and maintain IA infrastructure (Policies, Procedures, Standards, Guidance, Audit Universe, Risk Assessments, Co-Sourcing Management, Service Quality, Regulatory Management and Stakeholder Management) in alignment with Regulators, IIA Standards and OCC’s designation requirements.
  • Contribute to the development of annual budget recommendations supporting the risk-based audit plan.
  • Coordinate with the Operations team and Co-Source relationship to manage staffing needs for plan execution.

 

Leadership

  • Support the design and implementation of strategic initiatives related to audit programs/processes, technology, or other initiatives related to assurance and consultative services for Financial and Model Risk.
  • Plan, execute, and report on risk-based and special request audit assignments.
  • Identify regulatory, operational, and/or strategic risks to the organization and develop recommendations for improvements.
  • Build and maintain effective relationships with business groups and management.

 

Delivery

  • Contribute to the development of risk assessment and comprehensive audit plan.
  • Manage multiple audits and validations simultaneously.
  • Execute audit projects in accordance with the annual audit plan.
  • Confirm audit quality, accuracy of results, and timely delivery.

 

Quality

  • Apply professional principles and standards (e.g., AICPA, IIA GIA, COSO, SR 11-7) in risk management activities and control evaluations.
  • Maintain knowledge of policies, procedures, standards, and supporting technologies in risk identification and mitigation.
  • Stay informed of industry practices, model methodologies, and emerging risks within financial services and propose improvement recommendations.
  • Participate in department-wide activities such as peer reviews of audit deliverables.

 

Supervisory Responsibilities

  • None

 

Qualifications

  • Strong verbal and written communication skills with the ability to effectively convey complex information to various stakeholders.
  • Proven analytical and critical thinking abilities to address business challenges.
  • Ability to develop and present comprehensive reports and recommendations based on data analysis.
  • Demonstrated capability to manage multiple projects while meeting deadlines.
  • Ability to manage the assessment of quantitative models approaches and tools.
  • Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

 

Technical Skills

  • [Required] Proficiency in Microsoft Office applications.
  • [Required] Strong proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software.
  • [Preferred] Seasoned expertise on understanding and managing financial risks related to financial derivatives portfolios, particularly options on equities.
  • [Preferred] Experience in evaluating the pricing of complex derivatives and performing advanced statistical analysis on underlying risk factors.
  • [Preferred] Experience with reviewing and auditing risk management models for derivatives using methodologies such as  Historical VaR, Monte Carlo simulation, TIMS and SPAN.
  • [Preferred] Proficiency in quantitative or statistical tools (e.g., Python, R, MATLAB, SAS) to support model audit and testing procedures.
  • [Preferred] Familiarity with model risk management practices including validation, backtesting, and performance monitoring.

 

Education and/or Experience

  • Minimum of 8 years working in a dynamic business environment
  • Proven track record of implementing and overseeing operational processes and procedures.
  • Experience in developing and maintaining professional relationships with internal and external stakeholders.
  • [Preferred] Industry-specific experience in relevant field (e.g., Financial Services, Technology, or related sectors)
  • [Required] Experience in financial risk model analysis or assessments and stress testing methodology.
  • [Preferred] Master’s degree in finance, economics or a quantitative field possessing strong quantitative, analytical, and problem-solving skills.
  • [Preferred] Experience with assessments or audits of Financial Risk Management or Models.

 

Certificates or Licenses

  • Certification such as Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.

Morningstar – Senior Principal Quantitative Analyst

The Senior Principal Quantitative Analyst plays a critical role in ensuring the accuracy, integrity, and reliability of quantitative data that powers Morningstars financial models, analytics, and decision-making processes. This role is a cornerstone of the Managed Investment Data (MID) program, which collects, standardizes, and enriches global fund data supporting investors, advisors, and institutions through trusted data and insight. The analyst will lead quantitative data quality design and implementation, develop AI/ML-based validation frameworks, and collaborate with cross-functional teams to strengthen data governance and model readiness. This role reports to the Director, Quality & Transformation within the Managed Investment Data team based in Mumbai.

 

Job Responsibilities :

 

– Lead the design, implementation, and enhancement of quantitative data quality frameworks, encompassing statistical validation and anomaly detection.

– Develop AI/ML-driven predictive quality checks, enabling proactive data error prevention and model trustworthiness.

– Apply advanced statistical methodologies linear/non-linear modeling, time series analysis, and Bayesian inference to detect quality drifts and signal inconsistencies.

– Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for quantitative models and investment algorithms.

– Create automated, scalable, and auditable data validation pipelines, supporting real-time data monitoring and exception reporting.

– Partner with stakeholders to uphold data governance, privacy, and regulatory compliance standards (MiFID, ESMA, SEC).

– Mentor and guide junior analysts, fostering a culture of excellence, continuous learning, and innovation in quantitative analysis.

– Communicate complex data quality insights and statistical findings in simple terms to senior leadership and non-technical stakeholders.

– Drive innovation through automation, reproducible modeling pipelines, and deployment of ML-based data correction systems.

– Contribute to the modernization of Morningstars data architecture by integrating data observability, telemetry, and metadata-driven quality measures.

Requirements :

– Strong foundation in quantitative finance, econometrics, and applied statistics.

– Deep understanding of financial instruments, fund structures, and performance modeling.

– Proven ability to work with large-scale, structured and unstructured data.

– Excellent analytical, problem-solving, and statistical reasoning skills.

– Strong stakeholder management, communication, and presentation skills.

– Ability to work in a cross-functional, fast-paced environment, and lead through influence.

Desired Candidate Profile :

– Masters degree in Data Science, Statistics, Mathematics, Financial Engineering, or Quantitative Finance.

– Professional certifications such as CFA, FRM, CQF, or Six Sigma Black Belt preferred.

– 10+ years of experience in quantitative analytics, model validation, or data quality engineering within financial services, asset management, or fintech.

– Expertise in Python, R, SQL, and familiarity with tools such as MATLAB, SAS, or TensorFlow.

– Experience in AWS ecosystem (S3, RDS, Glue, Athena) and modern data quality platforms.

– Hands-on experience with AI/ML frameworks (scikit-learn, PyTorch, TensorFlow) for anomaly detection and predictive data correction.

– Familiarity with data governance and regulatory standards (GDPR, SEC, ESMA, MiFID).

– Proficiency in Lean, Agile, and automation-first approaches for process improvement.

– Entrepreneurial mindset with a passion for innovation and scalability.

– Strong leadership, mentorship, and collaboration abilities.

– Flexible to adapt to evolving data and technology landscapes.

Key Competencies :

– Statistical Expertise : Deep proficiency in hypothesis testing, regression modeling, and time-series forecasting.

– AI/ML Integration : Building and deploying predictive quality and anomaly detection models.

– Automation Mindset : Experience with data pipelines, ETL automation, and observability frameworks.

– Data Governance : Comprehensive understanding of metadata management, lineage, and auditability.

– Business Acumen : Translating technical insights into actionable business intelligence.

– Leadership : Guiding teams through analytical rigor, innovation, and continuous improvement.